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IEEE Transactions on Neural Networks, Volume 22
Volume 22, Number 1, January 2011
- Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso:
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. 1-7 - Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems. 8-23 - Fei-Yue Wang, N. Jin, Derong Liu, Q. Wei:
Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With varepsilon-Error Bound. 24-36 - Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto:
Solving Nonstationary Classification Problems With Coupled Support Vector Machines. 37-51 - Haihong Zhang, Zhengyang Chin, Kai Keng Ang, Cuntai Guan, Chuanchu Wang:
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface. 52-63 - Seungjin Lee, Minsu Kim, Kwanho Kim, Joo-Young Kim, Hoi-Jun Yoo:
24-GOPS 4.5-mm2 Digital Cellular Neural Network for Rapid Visual Attention in an Object-Recognition SoC. 64-73 - Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic:
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. 74-83 - Ekaterina Vassilieva, Guillaume Pinto, J. Acácio de Barros, Patrick Suppes:
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators. 84-95 - Bin Wang, Hsiao-Dong Chiang:
ELITE: Ensemble of Optimal Input-Pruned Neural Networks Using TRUST-TECH. 96-109 - Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression. 110-120 - Hua Huang, Huiting He:
Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features. 121-130 - Ali Rodan, Peter Tiño:
Minimum Complexity Echo State Network. 131-144 - Bo Shen, Zidong Wang, Xiaohui Liu:
Bounded Hinfty Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon. 145-157 - Ricardo Santiago-Mozos, Fernando Pérez-Cruz, Antonio Artés-Rodríguez:
Extended Input Space Support Vector Machine. 158-163 - Ye Zhao, Lixian Zhang, Shen Shen, Huijun Gao:
Robust Stability Criterion for Discrete-Time Uncertain Markovian Jumping Neural Networks With Defective Statistics of Modes Transitions. 164-170
Volume 22, Number 2, February 2011
- Shi-Xiong Zhang, Man-Wai Mak:
Optimized Discriminative Kernel for SVM Scoring and Its Application to Speaker Verification. 173-185 - Nizar Bouguila:
Count Data Modeling and Classification Using Finite Mixtures of Distributions. 186-198 - Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang:
Domain Adaptation via Transfer Component Analysis. 199-210 - Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang:
Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources. 211-221 - Chengzhi Zhao, Liangcai Gan:
Dynamic Channel Assignment for Large-Scale Cellular Networks Using Noisy Chaotic Neural Network. 222-232 - Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization via Ihara Coefficients. 233-245 - Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo:
Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. 246-263 - Thuan Q. Huynh, James A. Reggia:
Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks. 264-275 - Yujian Li, Bo Liu, Xinwu Yang, Yaozong Fu, Houjun Li:
Multiconlitron: A General Piecewise Linear Classifier. 276-289 - Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-Server Multitask Learning From Distributed Datasets. 290-303 - Pablo Alberto Dalbem de Castro, Fernando J. Von Zuben:
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System. 304-316 - Kevin Ho, Chi-Sing Leung, John Sum:
Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs. 317-323 - Chuandong Li, Sichao Wu, Gang Feng, Xiaofeng Liao:
Stabilizing Effects of Impulses in Discrete-Time Delayed Neural Networks. 323-329 - Jianquan Lu, Daniel W. C. Ho, Jinde Cao, Jürgen Kurths:
Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances. 329-336
Volume 22, Number 3, March 2011
- Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. 337-346 - Pengsheng Zheng, Jianxiong Zhang, Wansheng Tang:
Learning Associative Memories by Error Backpropagation. 347-355 - José de Jesús Rubio, Plamen Angelov, Jaime Pacheco:
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network. 356-366 - Junping Zhang, Xiaodan Wang, Uwe Krüger, Fei-Yue Wang:
Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces. 367-380 - Wenlian Lu, Lili Wang, Tianping Chen:
On Attracting Basins of Multiple Equilibria of a Class of Cellular Neural Networks. 381-394 - Constantinos Panagiotakopoulos, Petroula Tsampouka:
The Margitron: A Generalized Perceptron With Margin. 395-407 - Jinliang Ding, Tianyou Chai, Hong Wang:
Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization. 408-419 - Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu:
Semisupervised Learning Using Negative Labels. 420-432 - Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. 433-446 - Max Mignotte:
MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation. 447-460 - Aurel A. Lazar, Eftychios A. Pnevmatikakis:
Video Time Encoding Machines. 461-473 - Kadim Tasdemir, Pavel Milenov, Brooke Tapsall:
Topology-Based Hierarchical Clustering of Self-Organizing Maps. 474-485 - Jinling Liang, Zidong Wang, Xiaohui Liu:
Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements. 486-496 - Alma Y. Alanis, Edgar N. Sánchez, Alexander G. Loukianov, Marco Antonio Pérez Cisneros:
Real-Time Recurrent Neural State Estimation. 497-505 - Emilio Soria-Olivas, Juan Gómez-Sanchís, José David Martín-Guerrero, Joan Vila-Francés, Marcelino Martínez-Sober, José Rafael Magdalena Benedicto, Antonio J. Serrano:
BELM: Bayesian Extreme Learning Machine. 505-509
Volume 22, Number 4, April 2011
- Mathias M. Adankon, Mohamed Cheriet, Alain Biem:
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM. 513-524 - Daizhan Cheng, Hongsheng Qi, Zhiqiang Li:
Model Construction of Boolean Network via Observed Data. 525-536 - Valero Laparra, Gustavo Camps-Valls, Jesus Malo:
Iterative Gaussianization: From ICA to Random Rotations. 537-549 - Guoxu Zhou, Zuyuan Yang, Shengli Xie, Jun-Mei Yang:
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint. 550-560 - Chuangxia Huang, Jinde Cao:
Convergence Dynamics of Stochastic Cohen-Grossberg Neural Networks With Unbounded Distributed Delays. 561-572 - Hui Xue, Songcan Chen, Qiang Yang:
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. 573-587 - Xiaoyu Wang, Yong Huang:
Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks. 588-600 - Qingshan Liu, Jun Wang:
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions. 601-613 - Kostyantyn Y. Volyanskyy, Wassim M. Haddad, James M. Bailey:
Pressure- and Work-Limited Neuroadaptive Control for Mechanical Ventilation of Critical Care Patients. 614-626 - Mario Luca Fravolini, Giampiero Campa:
Design of a Neural Network Adaptive Controller via a Constrained Invariant Ellipsoids Technique. 627-638 - Vassilis Vassiliades, Aristodemos Cleanthous, Chris Christodoulou:
Multiagent Reinforcement Learning: Spiking and Nonspiking Agents in the Iterated Prisoner's Dilemma. 639-653 - Jian-Bo Yang, Chong Jin Ong:
Determination of Global Minima of Some Common Validation Functions in Support Vector Machine. 654-659 - Bo Xie, Meng Wang, Dacheng Tao:
Toward the Optimization of Normalized Graph Laplacian. 660-666 - Mauro Di Marco, Massimo Grazzini, Luca Pancioni:
Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks. 666-671
Volume 22, Number 5, May 2011
- Rami N. Mahdi, Eric C. Rouchka:
Reduced HyperBF Networks: Regularization by Explicit Complexity Reduction and Scaled Rprop-Based Training. 673-686 - Simone G. O. Fiori:
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects. 687-700 - Chao Zhang, Jie Yang, Wei Wu:
Binary Higher Order Neural Networks for Realizing Boolean Functions. 701-713 - Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fang-Xiang Wu:
Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks. 714-726 - Bipin Kumar Tripathi, Prem Kumar Kalra:
On Efficient Learning Machine With Root-Power Mean Neuron in Complex Domain. 727-738 - Dan Zhang, Fei Wang, Luo Si, Tao Li:
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. 739-751 - Tetsuya Hishiki, Hiroyuki Torikai:
A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses. 752-767 - Angelo Alessandri, Marco Baglietto, Giorgio Battistelli, Mauro Gaggero:
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks. 768-780 - Ashfaqur Rahman, Brijesh K. Verma:
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers. 781-792 - Chaofeng Li, Alan Conrad Bovik, Xiaojun Wu:
Blind Image Quality Assessment Using a General Regression Neural Network. 793-799 - Jian Yang, Yu Zhao, Hongsheng Xi:
Weighted Rule Based Adaptive Algorithm for Simultaneously Extracting Generalized Eigenvectors. 800-806 - Hong-Bing Zeng, Yong He, Min Wu, Chang-Fan Zhang:
Complete Delay-Decomposing Approach to Asymptotic Stability for Neural Networks With Time-Varying Delays. 806-812 - Hanyong Shao, Qing-Long Han:
New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components. 812-818 - Xia Hong, Sheng Chen:
Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network. 818-825
Volume 22, Number 6, June 2011
- Sanqing Hu, Guojun Dai, Gregory A. Worrell, Qionghai Dai, Hualou Liang:
Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods. 829-844 - Chandra Shekhar Dhir, Soo-Young Lee:
Discriminant Independent Component Analysis. 845-857 - Qing Sun, François Schwartz, Jacques Michel, Yannick Hervé, R. Dalmolin:
Implementation Study of an Analog Spiking Neural Network for Assisting Cardiac Delay Prediction in a Cardiac Resynchronization Therapy Device. 858-869 - Omar Arif, Patricio A. Vela:
Kernel Map Compression for Speeding the Execution of Kernel-Based Methods. 870-879 - Yuli Chen, Sung-Kee Park, Yide Ma, RajeshKanna Ala:
A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation. 880-892 - Jian-Xin Xu, Rui Yan:
Adaptive Learning Control for Finite Interval Tracking Based on Constructive Function Approximation and Wavelet. 893-905 - Khan M. Iftekharuddin:
Transformation Invariant On-Line Target Recognition. 906-918 - Johannes Partzsch, René Schüffny:
Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks. 919-935 - Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, Satish T. S. Bukkapatnam, Ranga Komanduri:
Practical Training Framework for Fitting a Function and Its Derivatives. 936-947 - Fangfei Li, Jitao Sun, Qidi Wu:
Observability of Boolean Control Networks With State Time Delays. 948-954 - Jian-Bo Yang, Chong Jin Ong:
Feature Selection Using Probabilistic Prediction of Support Vector Regression. 954-962 - Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng:
Improvements on Twin Support Vector Machines. 962-968 - Xun Liang, Zhihao Ni:
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space. 968-975 - Zhiguang Feng, James Lam:
Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks. 976-981 - Hoang Xuan Huan, Dang Thi Thu Hien, Huu Tue Huynh:
Efficient Algorithm for Training Interpolation RBF Networks With Equally Spaced Nodes. 982-988 - Terry Windeatt, Rakkrit Duangsoithong, Raymond S. Smith:
Embedded Feature Ranking for Ensemble MLP Classifiers. 988-994
Volume 22, Number 7, July 2011
- Ezequiel López-Rubio, Esteban J. Palomo:
Growing Hierarchical Probabilistic Self-Organizing Graphs. 997-1008 - Xiwei Liu, T. Chen:
Cluster Synchronization in Directed Networks Via Intermittent Pinning Control. 1009-1020 - Lei Zhang, Zhang Yi:
Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function. 1021-1031 - Zhanshan Wang, Huaguang Zhang, Bin Jiang:
LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures. 1032-1045 - Gonzalo Carvajal, Miguel E. Figueroa, Daniel Sbarbaro, Waldo Valenzuela:
Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. 1046-1060 - Suresh Sundaram, Ramaswamy Savitha, Narasimhan Sundararajan:
A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN. 1061-1072 - Shaocheng Tong, Yongming Li, Huaguang Zhang:
Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays. 1073-1086 - Vincent Gripon, Claude Berrou:
Sparse Neural Networks With Large Learning Diversity. 1087-1096 - R. Wang, Z. Zhang, J. Qu, J. Cao:
Phase Synchronization Motion and Neural Coding in Dynamic Transmission of Neural Information. 1097-1106 - Wei-Tao Zhang, Shun-Tian Lou:
Iterative Algorithm for Joint Zero Diagonalization With Application in Blind Source Separation. 1107-1118 - Zizhu Fan, Yong Xu, David Dapeng Zhang:
Local Linear Discriminant Analysis Framework Using Sample Neighbors. 1119-1132 - Jian Fu, Haibo He, Xinmin Zhou:
Adaptive Learning and Control for MIMO System Based on Adaptive Dynamic Programming. 1133-1148 - Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou:
Spectral Clustering on Multiple Manifolds. 1149-1161 - Yan-Jun Liu, C. L. Philip Chen, Guoxing Wen, Shaocheng Tong:
Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems. 1162-1167
Volume 22, Number 8, August 2011
- Xuemei Ren, Xiaohua Lv:
Identification of Extended Hammerstein Systems Using Dynamic Self-Optimizing Neural Networks. 1169-1179 - Xian-Ming Zhang, Qing-Long Han:
Global Asymptotic Stability for a Class of Generalized Neural Networks With Interval Time-Varying Delays. 1180-1192 - Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Quaternion-Valued Nonlinear Adaptive Filtering. 1193-1206 - Yu Zhang, Dit-Yan Yeung:
Semisupervised Generalized Discriminant Analysis. 1207-1217 - Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
Non-Negative Patch Alignment Framework. 1218-1230 - Wenjun Xiong, Daniel W. C. Ho, Zidong Wang:
Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches. 1231-1240 - Vladimir Cherkassky, Sauptik Dhar, Wuyang Dai:
Practical Conditions for Effectiveness of the Universum Learning. 1241-1255 - Yiguang Liu, Shuzhi Sam Ge, Chunguang Li, Zhisheng You:
k-NS: A Classifier by the Distance to the Nearest Subspace. 1256-1268 - Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Y. Molina-Bulla:
Support Vector Machines With Constraints for Sparsity in the Primal Parameters. 1269-1283 - Cong Wang, Tianrui Chen:
Rapid Detection of Small Oscillation Faults via Deterministic Learning. 1284-1296 - Jian Wang, Jie Yang, Wei Wu:
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. 1297-1306 - Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu:
ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. 1307-1320 - Niceto R. Luque, Jesús Alberto Garrido, Richard R. Carrillo, Olivier J. M. D. Coenen, Eduardo Ros:
Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks. 1321-1328 - Yan-Jun Liu, Shaocheng Tong, Dan Wang, Tieshan Li, C. L. Philip Chen:
Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems. 1328-1334 - Terry Windeatt, Cemre Zor:
Minimising Added Classification Error Using Walsh Coefficients. 1334-1339
Volume 22, Number 9, September 2011
- Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. 1341-1356 - Ruxandra-Liana Costea, Corneliu A. Marinov:
New Accurate and Flexible Design Procedure for a Stable KWTA Continuous Time Network. 1357-1367 - Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli:
SortNet: Learning to Rank by a Neural Preference Function. 1368-1380 - Hanwen Ning, Xing Jian Jing, Li Cheng:
Online Identification of Nonlinear Spatiotemporal Systems Using Kernel Learning Approach. 1381-1394 - Canh Hao Nguyen, Hiroshi Mamitsuka:
Discriminative Graph Embedding for Label Propagation. 1395-1405 - Christoph Hametner, Stefan Jakubek:
Nonlinear Identification With Local Model Networks Using GTLS Techniques and Equality Constraints. 1406-1418 - Miguel S. B. Almeida, Jan-Hendrik Schleimer, José M. Bioucas-Dias, Ricardo Vigário:
Source Separation and Clustering of Phase-Locked Subspaces. 1419-1434 - Sotirios P. Chatzis, Yiannis Demiris:
Echo State Gaussian Process. 1435-1445 - Fei Wang, Bin Zhao, Changshui Zhang:
Unsupervised Large Margin Discriminative Projection. 1446-1456 - Min Han, Jianchao Fan, Jun Wang:
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control. 1457-1468 - Kristof Vandoorne, Joni Dambre, David Verstraeten, Benjamin Schrauwen, Peter Bienstman:
Parallel Reservoir Computing Using Optical Amplifiers. 1469-1481 - Kazuhiro Shimonomura, Seiji Kameda, Atsushi Iwata, Tetsuya Yagi:
Wide-Dynamic-Range APS-Based Silicon Retina With Brightness Constancy. 1482-1493 - Haiquan Zhao, Xiangping Zeng, Zhengyou He:
Low-Complexity Nonlinear Adaptive Filter Based on a Pipelined Bilinear Recurrent Neural Network. 1494-1507 - Bo Liu, Wenlian Lu, Tianping Chen:
Generalized Halanay Inequalities and Their Applications to Neural Networks With Unbounded Time-Varying Delays. 1508-1513
Volume 22, Number 10, October 2011
- Ryan Elwell, Robi Polikar:
Incremental Learning of Concept Drift in Nonstationary Environments. 1517-1531 - Haijun Zhang, Gang Liu, Tommy W. S. Chow, Wenyin Liu:
Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach. 1532-1546 - Jie Lian, Zhi Feng, Peng Shi:
Observer Design for Switched Recurrent Neural Networks: An Average Dwell Time Approach. 1547-1556 - Shyan-Shiou Chen:
Chaotic Simulated Annealing by a Neural Network With a Variable Delay: Design and Application. 1557-1565 - Zhengguang Wu, Peng Shi, Hongye Su, Jian Chu:
Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays. 1566-1575 - Francesco Dinuzzo:
Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods. 1576-1587 - Saman Razavi, Bryan A. Tolson:
A New Formulation for Feedforward Neural Networks. 1588-1598 - Yuntong Wen, Xuemei Ren:
Neural Networks-Based Adaptive Control for Nonlinear Time-Varying Delays Systems With Unknown Control Direction. 1599-1612 - Masayuki Karasuyama, Ichiro Takeuchi:
Nonlinear Regularization Path for Quadratic Loss Support Vector Machines. 1613-1625 - Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun-Mei Yang, Zhaoshui He:
Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts. 1626-1637 - Dany Merhej, Chaouki Diab, Mohamad Khalil, Rémy Prost:
Embedding Prior Knowledge Within Compressed Sensing by Neural Networks. 1638-1649 - Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Efficient Revised Simplex Method for SVM Training. 1650-1661 - Yun Chen, Wei Xing Zheng:
Stability and L2 Performance Analysis of Stochastic Delayed Neural Networks. 1662-1668 - Wai Keung Wong, Mingming Sun:
Deep Learning Regularized Fisher Mappings. 1668-1675 - Lin Xiao, Yunong Zhang:
Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities. 1676-1684
Volume 22, Number 11, 2011
- Fang-Xiang Wu:
Delay-Independent Stability of Genetic Regulatory Networks. 1685-1693 - Xiaobing Nie, Jinde Cao:
Multistability of Second-Order Competitive Neural Networks With Nondecreasing Saturated Activation Functions. 1694-1708 - Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized Dynamic Surface Control of Large-Scale Interconnected Systems in Strict-Feedback Form Using Neural Networks With Asymptotic Stabilization. 1709-1722 - Ryad Benosman, Sio-Hoi Ieng, Paul Rogister, Christoph Posch:
Asynchronous Event-Based Hebbian Epipolar Geometry. 1723-1734 - Jianxiong Zhang, Wansheng Tang, Pengsheng Zheng:
Estimating the Ultimate Bound and Positively Invariant Set for a Class of Hopfield Networks. 1735-1743 - Ke Chen, Ahmad Salman:
Learning Speaker-Specific Characteristics With a Deep Neural Architecture. 1744-1756 - Shahab Mehraeen, Sarangapani Jagannathan:
Decentralized Optimal Control of a Class of Interconnected Nonlinear Discrete-Time Systems by Using Online Hamilton-Jacobi-Bellman Formulation. 1757-1769 - Xing-Bao Gao, Li-Zhi Liao:
Stability and Convergence Analysis for a Class of Neural Networks. 1770-1782 - Yajun Zhang, Tianyou Chai, Hong Wang:
A Nonlinear Control Method Based on ANFIS and Multiple Models for a Class of SISO Nonlinear Systems and Its Application. 1783-1795 - Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang:
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. 1796-1808 - Lan-Da Van, Di-You Wu, Chien-Shiun Chen:
Energy-Efficient FastICA Implementation for Biomedical Signal Separation. 1809-1822 - Tatt Hee Oong, Nor Ashidi Mat Isa:
Adaptive Evolutionary Artificial Neural Networks for Pattern Classification. 1823-1836 - Manuel Fernández Delgado, Jorge Ribeiro, Eva Cernadas, Senén Barro Ameneiro:
Direct Parallel Perceptrons (DPPs): Fast Analytical Calculation of the Parallel Perceptrons Weights With Margin Control for Classification Tasks. 1837-1848
Volume 22, Number 12, Part 1, December 2011
- Derong Liu:
Editorial: The Blossoming of the IEEE Transactions on Neural Networks. 1850 - Huaguang Zhang, Ruizhuo Song, Qinglai Wei, Tieyan Zhang:
Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming. 1851-1862 - Xin Xu, Chunming Liu, Simon X. Yang, Dewen Hu:
Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition. 1863-1877 - Zhirong Yang, Erkki Oja:
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. 1878-1891 - Zhishan Guo, Qingshan Liu, Jun Wang:
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints. 1892-1900 - Haibo He, Sheng Chen, Kang Li, Xin Xu:
Incremental Learning From Stream Data. 1901-1914 - Fopefolu O. Folowosele, Tara Julia Hamilton, Ralph Etienne-Cummings:
Silicon Modeling of the Mihalaş-Niebur Neuron. 1915-1927 - Sau Wai Tung, Chai Quek, Cuntai Guan:
SaFIN: A Self-Adaptive Fuzzy Inference Network. 1928-1940 - Luka Teslic, Benjamin Hartmann, Oliver Nelles, Igor Skrjanc:
Nonlinear System Identification by Gustafson-Kessel Fuzzy Clustering and Supervised Local Model Network Learning for the Drug Absorption Spectra Process. 1941-1951 - Yan Meng, Yaochu Jin, Jun Yin:
Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition. 1952-1966 - Soroush Javidi, Clive Cheong Took, Danilo P. Mandic:
Fast Independent Component Analysis Algorithm for Quaternion Valued Signals. 1967-1978 - Yan-Wu Wang, Jiang-Wen Xiao, Changyun Wen, Zhi-Hong Guan:
Synchronization of Continuous Dynamical Networks With Discrete-Time Communications. 1979-1986 - Junping Zhang, Qi Wang, Li He, Zhi-Hua Zhou:
Quantitative Analysis of Nonlinear Embedding. 1987-1998 - Cheng Hu, Juan Yu, Haijun Jiang, Zhidong Teng:
Exponential Synchronization of Complex Networks With Finite Distributed Delays Coupling. 1999-2010 - Grigorios Skolidis, Guido Sanguinetti:
Bayesian Multitask Classification With Gaussian Process Priors. 2011-2021 - David He, Ruoyu Li, Junda Zhu, Mikhail Zade:
Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors. 2022-2031 - Bruno Apolloni, Simone Bassis, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio:
Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems. 2032-2049 - Yu Su, Shiguang Shan, Xilin Chen, Wen Gao:
Classifiability-Based Discriminatory Projection Pursuit. 2050-2061 - Jianjun Ni, Simon X. Yang:
Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments. 2062-2077 - Chiara Brighenti, Miguel Angel Sanz-Bobi:
Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes. 2078-2090 - Rafal Dlugosz, Marta Kolasa, Witold Pedrycz, Michal Szulc:
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. 2091-2104 - Jin-Liang Wang, Huai-Ning Wu, Lei Guo:
Passivity and Stability Analysis of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions. 2105-2116 - Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki:
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. 2117-2131 - Simone G. O. Fiori:
Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere. 2132-2138 - Tao Li, Wei Xing Zheng, Chong Lin:
Delay-Slope-Dependent Stability Results of Recurrent Neural Networks. 2138-2143 - Jie Cheng, Mohammad R. Sayeh, Mehdi R. Zargham, Qiang Cheng:
Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations. 2143-2148
Volume 22, Number 12, Part 2, December 2011
- Tianyou Chai, Zhongsheng Hou, Frank L. Lewis, Amir Hussain, Dongbin Zhao:
Guest Editorial Data-Based Control, Modeling, and Optimization. 2150-2153 - Tianyou Chai, Yajun Zhang, Hong Wang, Chun-Yi Su, Jing Sun:
Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control. 2154-2172 - Zhongsheng Hou, Shangtai Jin:
Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems. 2173-2188 - Chow Yin Lai, Cheng Xiang, Tong Heng Lee:
Data-Based Identification and Control of Nonlinear Systems via Piecewise Affine Approximation. 2189-2200 - Xiaohui Liu, Hong Chen, Ping Wang, Bingzhao Gao:
Design of a Data-Driven Predictive Controller for Start-up Process of AMT Vehicles. 2201-2212 - Deyuan Meng, Yingmin Jia, Junping Du, Fashan Yu:
Data-Driven Control for Relative Degree Systems via Iterative Learning. 2213-2225 - Huaguang Zhang, Lili Cui, Xin Zhang, Yanhong Luo:
Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method. 2226-2236 - Dong Shen, Zhongsheng Hou:
Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach. 2237-2249 - Gang Li, Baosheng Liu, Si-Zhao Joe Qin, Donghua Zhou:
Quality Relevant Data-Driven Modeling and Monitoring of Multivariate Dynamic Processes: The Dynamic T-PLS Approach. 2262-2271 - Chuanhou Gao, Ling Jian, Xueyi Liu, Jiming Chen, Youxian Sun:
Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. 2272-2283 - Qiang Liu, Tianyou Chai, Hong Wang, Si-Zhao Joe Qin:
Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes. 2284-2295 - Chi-Yuan Yeh, Wen-Hau Roger Jeng, Shie-Jue Lee:
Data-Based System Modeling Using a Type-2 Fuzzy Neural Network With a Hybrid Learning Algorithm. 2296-2309 - Keem Siah Yap, Chee Peng Lim, Mau Teng Au:
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems. 2310-2323 - Puya Afshar, Martin Brown, Jan M. Maciejowski, Hong Wang:
Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking. 2324-2338 - Huaguang Zhang, Jinhai Liu, Dazhong Ma, Zhanshan Wang:
Data-Core-Based Fuzzy Min-Max Neural Network for Pattern Classification. 2339-2352 - Stelios D. Bekiros:
Sign Prediction and Volatility Dynamics With Hybrid Neurofuzzy Approaches. 2353-2362 - Mircea-Bogdan Radac, Radu-Emil Precup, Emil M. Petriu, Stefan Preitl:
Application of IFT and SPSA to Servo System Control. 2363-2375 - Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li:
Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. 2376-2387 - Zhuo Wang, Derong Liu:
Data-Based Controllability and Observability Analysis of Linear Discrete-Time Systems. 2388-2392 - Yu Jiang, Zhong-Ping Jiang:
Approximate Dynamic Programming for Optimal Stationary Control With Control-Dependent Noise. 2392-2398 - Van Luong Le, Gérard Bloch, Fabien Lauer:
Reduced-Size Kernel Models for Nonlinear Hybrid System Identification. 2398-2405 - Bart Baesens, David Martens, Rudy Setiono, Jacek M. Zurada:
Guest Editorial White Box Nonlinear Prediction Models. 2406-2408 - Rafael V. Borges, Artur S. d'Avila Garcez, Luís C. Lamb:
Learning and Representing Temporal Knowledge in Recurrent Networks. 2409-2421 - Luis A. Diago, Tetsuko Kitaoka, Ichiro Hagiwara, Toshiki Kambayashi:
Neuro-Fuzzy Quantification of Personal Perceptions of Facial Images Based on a Limited Data Set. 2422-2434 - Jan Chorowski, Jacek M. Zurada:
Extracting Rules From Neural Networks as Decision Diagrams. 2435-2446 - Ya-Jun Qu, Bao-Gang Hu:
Generalized Constraint Neural Network Regression Model Subject to Linear Priors. 2447-2459 - Qing Song:
Robust Initialization of a Jordan Network With Recurrent Constrained Learning. 2460-2473
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