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ORCIDIEEE Transactions on Neural Networks, Volume 20
Volume 20, Number 1, January 2009
- Li Feng Zhang, Quan Min Zhu, Ashley Longden:
A Correlation-Test-Based Validation Procedure for Identified Neural Networks. 1-13 - Irene Kotsia, Ioannis Pitas, Stefanos Zafeiriou:
Novel Multiclass Classifiers Based on the Minimization of the Within-Class Variance. 14-34 - Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama:
Robust Label Propagation on Multiple Networks. 35-44 - Heidar A. Talebi
, Khashayar Khorasani, Siamak Tafazoli:
A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem. 45-60 - Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
The Graph Neural Network Model. 61-80 - Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
Computational Capabilities of Graph Neural Networks. 81-102 - Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition. 103-123 - J. P. F. Sum, Chi-Sing Leung, Kevin I.-J. Ho:
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. 124-138 - Wei Zuo, Yang Zhu, Lilong Cai:
Fourier-Neural-Network-Based Learning Control for a Class of Nonlinear Systems With Flexible Components. 139-151 - Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar:
Learn++.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. 152-168 - Zhanshan Wang, Huaguang Zhang, Wen Yu:
Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix. 169-174 - Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang:
Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. 175-180 - Hua-Liang Wei, S. A. Billings, Yifan Zhao, Lingzhong Guo:
Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. 181-185
Volume 20, Number 2, February 2009
- Pablo A. Estévez, Michel Tesmer, Claudio A. Perez, Jacek M. Zurada:
Normalized Mutual Information Feature Selection. 189-201 - Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patané:
Learning Anticipation via Spiking Networks: Application to Navigation Control. 202-216 - Stefanos Zafeiriou:
Discriminant Nonnegative Tensor Factorization Algorithms. 217-235 - Artemis K. Kostarigka, George A. Rovithakis:
Adaptive Neural Network Tracking Control With Disturbance Attenuation for Multiple-Input Nonlinear Systems. 236-247 - Chengjun Liu, Jian Yang:
ICA Color Space for Pattern Recognition. 248-257 - Nicolás García-Pedrajas:
Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. 258-277 - Krzysztof Mossakowski, Jacek Mandziuk:
Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem. 278-299 - Yuexian Hou, Peng Zhang, Xingxing Xu, Xiaowei Zhang, Wenjie Li:
Nonlinear Dimensionality Reduction by Locally Linear Inlaying. 300-315 - Mauro Ursino, Elisa Magosso, Cristiano Cuppini:
Recognition of Abstract Objects Via Neural Oscillators: Interaction Among Topological Organization, Associative Memory and Gamma Band Synchronization. 316-335 - Haris E. Psillakis:
Sampled-Data Adaptive NN Tracking Control ofUncertainNonlinear Systems. 336-355 - Hwee Choo Liaw, Bijan Shirinzadeh, Julian Smith:
Robust Neural Network Motion Tracking Control of Piezoelectric Actuation Systems for Micro/Nanomanipulation. 356-367 - Jiali Yu, Zhang Yi, Lei Zhang:
Representations of Continuous Attractors of Recurrent Neural Networks. 368-372
Volume 20, Number 3, March 2009
- Xing-Bao Gao, Li-Zhi Liao:
A New Projection-Based Neural Network for Constrained Variational Inequalities. 373-388 - Masaaki Tsujitani, Masato Sakon:
Analysis of Survival Data Having Time-Dependent Covariates. 389-394 - Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin:
Kernel-Matching Pursuits With Arbitrary Loss Functions. 395-405 - Silvia Ferrari:
Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following. 406-419 - Yang Yi, Lei Guo, Hong Wang:
Adaptive Statistic Tracking Control Based on Two-Step Neural Networks With Time Delays. 420-429 - Seiichi Ozawa, Asim Roy, Dmitri Roussinov:
A Multitask Learning Model for Online Pattern Recognition. 430-445 - Pornthep Rojanavasu, Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Ouen Pinngern:
A Self-Organized, Distributed, and Adaptive Rule-Based Induction System. 446-459 - Laurent Gatet, Hélène Tap-Béteille, Francis Bony:
Comparison Between Analog and Digital Neural Network Implementations for Range-Finding Applications. 460-470 - Puya Ghasemi Afshar, Hong Wang, Tianyou Chai:
An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy. 471-482 - Tianping Zhang, Shuzhi Sam Ge:
Adaptive Neural Network Tracking Control of MIMO Nonlinear Systems With Unknown Dead Zones and Control Directions. 483-497 - Alessio Micheli:
Neural Network for Graphs: A Contextual Constructive Approach. 498-511 - Daizhan Cheng:
Input-State Approach to Boolean Networks. 512-521 - Joon S. Lim:
Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System. 522-527 - Christos N. Houmkozlis, George A. Rovithakis:
Fairness Guarantees in a Neural Network Adaptive Congestion Control Framework. 527-533 - Xian-Ming Zhang, Qing-Long Han:
New Lyapunov-Krasovskii Functionals for Global Asymptotic Stability of Delayed Neural Networks. 533-539 - Christian Endisch, Peter Stolze, Christoph M. Hackl, Dierk Schröder:
Comments on "Backpropagation Algorithms for a Broad Class of Dynamic Networks". 540-541 - Philippe Thomas:
Semi-Supervised Learning by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien (Review). 542 - Wlodzislaw Duch, Jacek Mandziuk:
Challenges for Computational Intelligence. 542-543 - B. Pincibono:
Random Signals and Systems. 543-545 - Li Deng:
Dynamic Speech Models - Theory, Algorithms, and Applications. 545-546 - Krzysztof Patan, Maciej Patan:
Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". 547-548
Volume 20, Number 4, April 2009
- Kadim Tasdemir, Erzsébet Merényi:
Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps. 549-562 - Abdul Wahab, Chai Quek, Chin Keong Tan, Kazuya Takeda:
Driving Profile Modeling and Recognition Based on Soft Computing Approach. 563-582 - Kai Zhang, Ivor W. Tsang, James T. Kwok:
Maximum Margin Clustering Made Practical. 583-596 - Ramin Pashaie, Nabil H. Farhat:
Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information Processing in the Visual Cortex. 597-608 - Yiannis S. Boutalis, Dimitris C. Theodoridis, Manolis A. Christodoulou:
A New Neuro-FDS Definition for Indirect Adaptive Control of Unknown Nonlinear Systems Using a Method of Parameter Hopping. 609-625 - Nikola Gradojevic, Ramazan Gencay, Dragan Kukolj:
Option Pricing With Modular Neural Networks. 626-637 - Elwin de Weerdt, Qiping Chu, J. A. Mulder:
Neural Network Output Optimization Using Interval Analysis. 638-653 - Xiaolin Hu, Bo Zhang:
A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem. 654-664 - Haiquan Zhao, Jiashu Zhang:
Adaptively Combined FIR and Functional Link Artificial Neural Network Equalizer for Nonlinear Communication Channel. 665-674 - Antoniya Georgieva, Ivan Jordanov:
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. 675-685 - Jason Horn, Orlando De Jesus, Martin T. Hagan:
Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance. 686-700 - Krzysztof Cpalka:
A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems. 701-714 - Hong-Jie Xing, Bao-Gang Hu:
Two-Phase Construction of Multilayer Perceptrons Using Information Theory. 715-721 - Daewon Lee, Kyu-Hwan Jung, Jaewook Lee:
Constructing Sparse Kernel Machines Using Attractors. 721-729 - Yangqing Jia, Feiping Nie, Changshui Zhang:
Trace Ratio Problem Revisited. 729-735 - Lin Zhao, Ming Sun, Jian-hua Cheng, Yaoqun Xu:
A Novel Chaotic Neural Network With the Ability to Characterize Local Features and Its Application. 735-742
Volume 20, Number 5, May 2009
- Eric Sakk, David J. Schneider, Christopher R. Myers, Samuel W. Cartinhour:
The Effect of Target Vector Selection on the Invariance of Classifier Performance Measures. 745-757 - Yu Zhao, Chien Chern Cheah:
Neural Network Control of Multifingered Robot Hands Using Visual Feedback. 758-767 - Janusz A. Starzyk, Haibo He:
Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. 768-780 - Jinling Liang, Zidong Wang, Xiaohui Liu:
State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case. 781-793 - David Angeli:
Convergence in Networks With Counterclockwise Neural Dynamics. 794-804 - Shih-Sian Cheng, Hsin-Chia Fu, Hsin-Min Wang:
Model-Based Clustering by Probabilistic Self-Organizing Maps. 805-826 - Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok:
Building Sparse Multiple-Kernel SVM Classifiers. 827-839 - Yi Shen, Jun Wang:
Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching. 840-855 - Chan Wai Ting, Chai Quek:
A Novel Blood Glucose Regulation Using TSK0-FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme. 856-871 - Sunan Huang, Kok Kiong Tan:
Fault Detection and Diagnosis Based on Modeling and Estimation Methods. 872-881 - Bin Zhao, Fei Wang, Changshui Zhang:
Block-Quantized Support Vector Ordinal Regression. 882-890 - Hatem A. Fayed, Amir F. Atiya:
A Novel Template Reduction Approach for the K -Nearest Neighbor Method. 890-896 - Weisheng Chen:
Comments on "Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks". 897-898
Volume 20, Number 6, June 2009
- Huanhuan Chen, Peter Tiño, Xin Yao:
Probabilistic Classification Vector Machines. 901-914 - Long Cheng, Zeng-Guang Hou, Min Tan:
A Delayed Projection Neural Network for Solving Linear Variational Inequalities. 915-925 - Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Sparse Bayesian Modeling With Adaptive Kernel Learning. 926-937 - Faa-Jeng Lin, Syuan-Yi Chen, Kuo-Kai Shyu:
Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System. 938-951 - Zhang Yi, Lei Zhang, Jiali Yu, Kok Kiong Tan:
Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks. 952-963 - Akihito Sudo, Akihiro Sato, Osamu Hasegawa:
Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network. 964-972 - Hongmei He, Zhenhuan Zhu, Erkki Mäkinen:
A Neural Network Model to Minimize the Connected Dominating Set for Self-Configuration of Wireless Sensor Networks. 973-982 - Wen Yu, José de Jesús Rubio:
Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm. 983-991 - Dongyue Chen, Liming Zhang, Juyang Weng:
Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons. 992-1008 - Elias B. Kosmatopoulos, Anastasios Kouvelas:
Large Scale Nonlinear Control System Fine-Tuning Through Learning. 1009-1023 - Wei Bian, Xiaoping Xue:
Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. 1024-1038 - Maria Bortman, Mayer E. Aladjem:
A Growing and Pruning Method for Radial Basis Function Networks. 1039-1045 - Marcos Eduardo Valle:
A Class of Sparsely Connected Autoassociative Morphological Memories for Large Color Images. 1045-1050 - Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao:
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. 1050-1054 - Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone:
A Convergent Hybrid Decomposition Algorithm Model for SVM Training. 1055-1060
Volume 20, Number 7, July 2009
- Thomas Martinetz, Kai Labusch, Daniel Schneegaß:
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines. 1061-1072 - Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov:
Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering. 1073-1086 - Julie Carreau, Yoshua Bengio:
A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. 1087-1101 - Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Liu:
Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays. 1102-1116 - Abhijeet V. Nandedkar, Prabir K. Biswas:
A Granular Reflex Fuzzy Min-Max Neural Network for Classification. 1117-1134 - Gábor Orosz, Peter Ashwin, Stuart Townley:
Learning of Spatio-Temporal Codes in a Coupled Oscillator System. 1135-1147 - Beibei Ren, Shuzhi Sam Ge, Tong Heng Lee, Chun-Yi Su:
Adaptive Neural Control for a Class of Nonlinear Systems With Uncertain Hysteresis Inputs and Time-Varying State Delays. 1148-1164 - Yonghui Xia, Zijiang Yang, Maoan Han:
Lag Synchronization of Unknown Chaotic Delayed Yang-Yang-Type Fuzzy Neural Networks With Noise Perturbation Based on Adaptive Control and Parameter Identification. 1165-1180 - Grigorios Tzortzis, Aristidis Likas:
The Global Kernel k -Means Algorithm for Clustering in Feature Space. 1181-1194 - Umut Ozertem, Deniz Erdogmus:
RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. 1195-1203 - Jang-Hyun Park, Seong-Hwan Kim, Chae-Joo Moon:
Adaptive Neural Control for Strict-Feedback Nonlinear Systems Without Backstepping. 1204-1209 - Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi:
Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays. 1209-1215 - Zhenbing Liu, J. G. Liu, Chao Pan, Guoyou Wang:
A Novel Geometric Approach to Binary Classification Based on Scaled Convex Hulls. 1215-1220
Volume 20, Number 8, August 2009
- Kevin Stanley McFall, James Robert Mahan:
Artificial Neural Network Method for Solution of Boundary Value Problems With Exact Satisfaction of Arbitrary Boundary Conditions. 1221-1233 - Alex Weissensteiner:
A Q -Learning Approach to Derive Optimal Consumption and Investment Strategies. 1234-1243 - Wing Yee Sit, Lee Onn Mak, Gee Wah Ng:
Managing Category Proliferation in Fuzzy ARTMAP Caused by Overlapping Classes. 1244-1253 - Jean-François Connolly, Richard Labib:
A Multiscale Scheme for Approximating the Quantron's Discriminating Function. 1254-1266 - Jinmiao Chen, Narendra S. Chaudhari:
Segmented-Memory Recurrent Neural Networks. 1267-1280 - Sylvain Chartier, Mounir Boukadoum, Mahmood Amiri:
BAM Learning of Nonlinearly Separable Tasks by Using an Asymmetrical Output Function and Reinforcement Learning. 1281-1292 - Fangyue Chen, Guanrong Chen, Qinbin He, Guolong He, Xiubin Xu:
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: Non-LSBF Implementation. 1293-1301 - Hanlin Goh, Joo-Hwee Lim, Chai Quek:
Fuzzy Associative Conjuncted Maps Network. 1302-1319 - Vahram Stepanyan, Andrew Kurdila:
Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. 1320-1329 - Yu Zhao, Huijun Gao, James Lam, Ke Chen:
Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay. 1330-1339 - Wei Lin, Guanrong Chen:
Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit. 1340-1351 - Guorui Feng, Guang-Bin Huang, Qingping Lin, Robert Kheng Leng Gay:
Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning. 1352-1357 - Abd-Krim Seghouane:
Model Selection Criteria for Image Restoration. 1357-1363 - Leonid I. Perlovsky:
"Vague-to-Crisp" Neural Mechanism of Perception. 1363-1367 - Michael R. W. Dawson, Brian Dupuis, Marcia Spetch, Debbie M. Kelly:
Simple Artificial Neural Networks That Match Probability and Exploit and Explore When Confronting a Multiarmed Bandit. 1368-1371 - Jacques M. Bahi, Sylvain Contassot-Vivier:
Corrections to "Basins of Attraction in Fully Asynchronous Discrete-Time Discrete-State Dynamic Networks" [Mar 06 397-408]. 1372-1374
Volume 20, Number 9, September 2009
- Chih-Min Lin, Te-Yu Chen:
Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear Systems. 1377-1384 - Tommy W. S. Chow, M. K. M. Rahman:
Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection. 1385-1402 - Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli:
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. 1403-1416 - Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, Rafael Paz-Vicente, Francisco Gomez-Rodriguez, Luis A. Camuñas-Mesa, Raphael Berner, Manuel Rivas Pérez, Tobi Delbruck, Shih-Chii Liu, Rodney J. Douglas, Philipp Häfliger, Gabriel Jiménez-Moreno, Antón Civit Balcells, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Bernabé Linares-Barranco:
CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. 1417-1438 - Isaac Chairez:
Wavelet Differential Neural Network Observer. 1439-1449 - Erich Fuchs, Christian Gruber, Tobias Reitmaier, Bernhard Sick:
Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks. 1450-1462 - Gouhei Tanaka, Kazuyuki Aihara:
Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction. 1463-1473 - Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez:
Probabilistic PCA Self-Organizing Maps. 1474-1489 - Huaguang Zhang, Yanhong Luo, Derong Liu:
Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints. 1490-1503 - Davood Golmohammadi, Robert C. Creese, Haleh Valian, John E. Kolassa:
Supplier Selection Based on a Neural Network Model Using Genetic Algorithm. 1504-1519 - Haris E. Psillakis:
Projection-Based Adaptive Neurocontrol With Switching Logic Deadzone Tuning. 1520-1527
Volume 20, Number 10, October 2009
- Zongben Xu, Rui Zhang, Wenfeng Jing:
When Does Online BP Training Converge? 1529-1539 - Ján Dolinský, Hideyuki Takagi:
Analysis and Modeling of Naturalness in Handwritten Characters. 1540-1553 - Tingting Chen, Sheng Zhong:
Privacy-Preserving Backpropagation Neural Network Learning. 1554-1564 - S. Easter Selvan, Alexandru Mustatea, C. Cecil Xavier, Jean Sequeira:
Accurate Estimation of ICA Weight Matrix by Implicit Constraint Imposition Using Lie Group. 1565-1580 - Lili Wang, Wenlian Lu, Tianping Chen:
Multistability and New Attraction Basins of Almost-Periodic Solutions of Delayed Neural Networks. 1581-1593 - Hong Chen, Luoqing Li:
Semisupervised Multicategory Classification With Imperfect Model. 1594-1603 - Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh:
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. 1604-1616 - Jianquan Lu, Daniel W. C. Ho, Zidong Wang:
Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers. 1617-1629 - Huai-Ning Wu, Han-Xiong Li:
Adaptive Neural Control Design for Nonlinear Distributed Parameter Systems With Persistent Bounded Disturbances. 1630-1644 - Fangyue Chen, Guanrong Chen, Guolong He, Xiubin Xu, Qinbin He:
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: LSBF and PBF Implementations. 1645-1658 - Woon Jeung Park, Rhee Man Kil:
Pattern Classification With Class Probability Output Network. 1659-1673 - John McElroy, Paul D. Gader:
Generalized Encoding and Decoding Operators for Lattice-Based Associative Memories. 1674-1678 - Jin Zhou, Wenwu Yu, Xiumin Li, Michael Small, Junan Lu:
Identifying the Topology of a Coupled FitzHugh-Nagumo Neurobiological Network via a Pinning Mechanism. 1679-1684
Volume 20, Number 11, November 2009
- Franck Dufrenois, Johan Colliez, Denis Hamad:
Bounded Influence Support Vector Regression for Robust Single-Model Estimation. 1689-1706 - Kostyantyn Y. Volyanskyy, Wassim M. Haddad, Anthony J. Calise:
A New Neuroadaptive Control Architecture for Nonlinear Uncertain Dynamical Systems: Beyond sigma- and e-Modifications. 1707-1723 - Hong Qu, Simon X. Yang, Allan R. Willms, Zhang Yi:
Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model. 1724-1739 - Wing-Cheong Wong, Siu-Yeung Cho, Chai Quek:
R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification. 1740-1755 - Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez:
Learning Gaussian Mixture Models With Entropy-Based Criteria. 1756-1771 - Eric K. C. Tsang, Bertram Emil Shi:
Disparity Estimation by Pooling Evidence From Energy Neurons. 1772-1782 - Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada:
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. 1783-1796 - Ke Qin, B. John Oommen:
Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology. 1797-1809 - Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun Zhang:
Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers. 1810-1819 - Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. 1820-1836 - Antonio Giaquinto, Girolamo Fornarelli:
PSO-Based Cloning Template Design for CNN Associative Memories. 1837-1841 - Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang:
Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. 1842-1851
Volume 20, Number 12, December 2009
- Marios M. Polycarpou:
Editorial: Renewal for the IEEE Transactions on Neural Networks. 1857 - Mathias M. Adankon, Mohamed Cheriet, Alain Biem:
Semisupervised Least Squares Support Vector Machine. 1858-1870 - Guoshen Yu, Jean-Jacques E. Slotine:
Visual Grouping by Neural Oscillator Networks. 1871-1884 - João Paulo Ferreira, Manuel M. Crisóstomo, A. Paulo Coimbra:
SVR Versus Neural-Fuzzy Network Controllers for the Sagittal Balance of a Biped Robot. 1885-1897 - Gianluca Monaci, Pierre Vandergheynst, Friedrich T. Sommer:
Learning Bimodal Structure in Audio-Visual Data. 1898-1910 - Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiaoping Li:
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. 1911-1922 - Frédéric Mustière, Miodrag Bolic, Martin Bouchard:
Speech Enhancement Based on Nonlinear Models Using Particle Filters. 1923-1937 - Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. 1938-1949 - Weifeng Liu, Il Park, José C. Príncipe:
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. 1950-1961 - Huanhuan Chen, Xin Yao:
Regularized Negative Correlation Learning for Neural Network Ensembles. 1962-1979 - Kun Zhan, Hongjuan Zhang, Yide Ma:
New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing. 1980-1986 - Tze-Yui Ho, Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong:
Efficient Relighting of RBF-Based Illumination Adjustable Images. 1987-1993 - David Applebaum:
Extending Stochastic Resonance for Neuron Models to General Lévy Noise. 1993-1995
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