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ORCIDISNN 2004: Dalian, China
- Fuliang Yin, Jun Wang
, Chengan Guo:
Advances in Neural Networks - ISNN 2004, International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3173, Springer 2004, ISBN 3-540-22841-1
Theoretical Analysis
- Jianjun Wang, Zongben Xu, Weijun Xu:
Approximation Bounds by Neural Networks in Lpomega. 1-6 - Bao-Gang Hu, Hong-Jie Xing, Yu-Jiu Yang:
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks. 7-13 - David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz:
Mutual Information and Topology 1: Asymmetric Neural Network. 14-19 - Kostadin Koroutchev, David R. C. Dominguez, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz:
Mutual Information and Topology 2: Symmetric Network. 20-25 - Xiaodong Gu, Liming Zhang, Daoheng Yu:
Simplified PCNN and Its Periodic Solutions. 26-31 - Changyin Sun, Xunming Li, Chun-Bo Feng:
On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters. 32-37 - Wenlian Lu, Tianping Chen:
Delay-Dependent Criteria for Global Stability of Delayed Neural Network System. 38-43 - Zhongsheng Wang, Hanlin He, Xiaoxin Liao:
Stability Analysis of Uncertain Neural Networks with Delay. 44-48 - Huaguang Zhang, Gang Wang:
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays. 49-54 - Carlos Aguirre, Doris Campos, Pedro Pascual, Eduardo Serrano:
Criteria for Stability in Neural Network Models with Iterative Maps. 55-60 - Haoyang Tang, Chuandong Li, Xiaofeng Liao:
Exponential Stability Analysis for Neural Network with Parameter Fluctuations. 61-66 - Yiping Lin, Zengrong Liu:
Local Stability and Bifurcation in a Model of Delayed Neural Network. 67-71 - Qiang Zhang, Haijun Wang, Dongsheng Zhou, Xiaopeng Wei:
On the Asymptotic Stability of Non-autonomous Delayed Neural Networks. 72-77 - Kun Yuan, Jinde Cao:
Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays. 78-83 - Lin Wang:
Stability of Stochastic Cohen-Grossberg Neural Networks. 84-89 - Anhua Wan, Weihua Mao, Chun Zhao:
A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks. 90-95 - Ce Ji, Huaguang Zhang, Huanxin Guan:
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays. 96-101 - Chuandong Li, Xiaofeng Liao, Yong Chen:
On Robust Stability of BAM Neural Networks with Constant Delays. 102-107 - Wenjun Xiong, Qiuhao Jiang:
Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays. 108-113 - Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Stability Analysis of Discrete-Time Cellular Neural Networks. 114-119 - Yong Chen, Xiaofeng Liao:
Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay. 120-125 - Runnian Ma, Youmin Xi, Hangshan Gao:
Stability of Discrete Hopfield Networks with Delay in Serial Mode. 126-131 - Xueming Li, Xiaofeng Liao, Tao Xiang:
Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks. 132-137 - Ying Wu, Jianxue Xu, Daihai He, Wuyin Jin, Mi He:
Synchronization in Two Uncoupled Chaotic Neurons. 138-143 - Jin Zhou, Tianping Chen, Lan Xiang:
Robust Synchronization of Coupled Delayed Recurrent Neural Networks. 144-149
Learning and Optimization
- Adrian Horzyk, Ryszard Tadeusiewicz:
Self-Optimizing Neural Networks. 150-155 - Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim:
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. 156-161 - Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. 162-167 - Jian Yu, Pengwei Hao:
On Soft Learning Vector Quantization Based on Reformulation. 168-173 - Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim:
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. 174-179 - Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Fuzzy-Kernel Learning Vector Quantization. 180-185 - Yen-Wei Chen, Sulistiyo, Zensho Nakao:
Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural Networks. 186-192 - Shangming Yang, Zhang Yi:
Self-Organizing Feature Map Based Data Mining. 193-198 - Shuang Chen, Zongtan Zhou, Dewen Hu:
Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural Model. 199-204 - Shifeng Weng, Fai Wong, Changshui Zhang:
A New Adaptive Self-Organizing Map. 205-210 - Yuehui Chen, Bo Yang, Jiwen Dong:
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm. 211-216 - Masaharu Adachi:
Surrogating Neurons in an Associative Chaotic Neural Network. 217-222 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra:
Ensembles of RBFs Trained by Gradient Descent. 223-228 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra:
Gradient Descent Training of Radial Basis Functions. 229-234 - Wei Wu, Zhengxue Li, Guorui Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu:
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. 235-238 - Daewon Lee, Hyung-Jun Choi, Jaewook Lee:
A Regularized Line Search Tunneling for Efficient Neural Network Learning. 239-243 - Weijiang Long, Wenxiu Zhang:
Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm. 244-251 - Jianhua Xu, Xuegong Zhang:
A Learning Algorithm with Gaussian Regularizer for Kernel Neuron. 252-257 - Xiuli Ma, Licheng Jiao:
An Effective Learning Algorithm of Synergetic Neural Network. 258-263 - Liefeng Bo, Ling Wang, Licheng Jiao:
Sparse Bayesian Learning Based on an Efficient Subset Selection. 264-269 - Lipo Wang, Bing Liu, Chunru Wan:
A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization. 270-275 - Guangyuan Liu, Yonghui Fang, Xufei Zheng, Yuhui Qiu:
Tuning Neuro-Fuzzy Function Approximator by Tabu Search. 276-281 - Lijun Liu, Wei Wu:
Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns. 282-285 - Lingyun Hu, Zengqi Sun:
A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition. 286-292 - Fang Liu, Jianbo Su:
An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning. 293-298 - Xiaoyi Jin, Haifeng Du, Wuhong He, Licheng Jiao:
Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm. 299-304 - Minghu Jiang, Georges G. E. Gielen:
Backpropagation Analysis of the Limited Precision on High-Order Function Neural Networks. 305-310 - Xiaoping Chen, Jianfeng Gao:
LMS Adaptive Notch Filter Design Based on Immune Algorithm. 311-316 - Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen:
Training Radial Basis Function Networks with Particle Swarms. 317-322 - Zhang-Quan Shen, Fan-Sheng Kong:
Optimizing Weights by Genetic Algorithm for Neural Network Ensemble. 323-331 - Hongbo Liu, Bo Li, Xiukun Wang, Ye Ji, Yiyuan Tang:
Survival Density Particle Swarm Optimization for Neural Network Training. 332-337 - Weixing Bi, XuGang Wang, Ziliang Zong, Zheng Tang:
Modified Error Function with Added Terms for the Backpropagation Algorithm. 338-343 - Xin Song, Jinkuan Wang, Han Wang:
Robust Constrained-LMS Algorithm. 344-349 - Daewon Lee, Jaewook Lee:
A Novel Three-Phase Algorithm for RBF Neural Network Center Selection. 350-355 - Yuan Jiang, Zhi-Hua Zhou:
Editing Training Data for kNN Classifiers with Neural Network Ensemble. 356-361 - Jinmiao Chen, Narendra S. Chaudhari:
Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks. 362-369 - Chengan Guo, Anthony Kuh:
An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations. 370-376 - Ray Tsaih, Chih-Chung Lin:
The Layered Feed-Forward Neural Networks and Its Rule Extraction. 377-382 - Leilei Pan, Simon X. Yang, Fengchun Tian, Lambert Otten, Roger R. Hacker:
Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting Method. 383-388 - Guo-Zheng Li, Jie Yang, Jun Lu, Wen-Cong Lu, Nian-yi Chen:
On Multivariate Calibration Problems. 389-394 - Norihisa Sato, Masaharu Adachi, Makoto Kotani:
Control of Associative Chaotic Neural Networks Using a Reinforcement Learning. 395-400 - Xinshun Xu, Jiahai Wang, Zheng Tang, Xiaoming Chen, Yong Li, Guangpu Xia:
A Method to Improve the Transiently Chaotic Neural Network. 401-405 - Zhiqing Meng, Chuangyin Dang, Gengui Zhou, Yihua Zhu, Min Jiang:
A New Neural Network for Nonlinear Constrained Optimization Problems. 406-412 - Xiaodong Gu, Liming Zhang, Daoheng Yu:
Delay PCNN and Its Application for Optimization. 413-418 - Guangpu Xia, Zheng Tang, Jiahai Wang, Rong Long Wang, Yong Li, Guangan Xia:
A New Parallel Improvement Algorithm for Maximum Cut Problem. 419-424 - Jiahai Wang, Xinshun Xu, Zheng Tang, Weixing Bi, Xiaoming Chen, Yong Li:
A New Neural Network Algorithm for Clique Vertex-Partition Problem. 425-429 - Xiaoming Chen, Zheng Tang, Xinshun Xu, Songsong Li, Guangpu Xia, Jiahai Wang:
An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem. 430-435 - Ensheng Yu, Xicheng Wang:
A Subgraph Isomorphism Algorithm Based on Hopfield Neural Network. 436-441 - Yong Li, Zheng Tang, Rong Long Wang, Guangpu Xia, Jiahai Wang:
A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem. 442-447 - Ling Wang, Fang Tang:
NN-Based GA for Engineering Optimization. 448-453 - Xin Feng, Lixin Tang, Ho-fung Leung:
Applying GENET to the JSSCSOP. 454-461
Support Vector Machines
- Jianmin Li, Jianwei Zhang, Bo Zhang:
Improvements to Bennett?s Nearest Point Algorithm for Support Vector Machines. 462-467 - Baoqing Li:
Distance-Based Selection of Potential Support Vectors by Kernel Matrix. 468-473 - Jun Guo, Norikazu Takahashi, Tetsuo Nishi:
A Learning Method for Robust Support Vector Machines. 474-479 - Yimin Wen, Bao-Liang Lu:
A Cascade Method for Reducing Training Time and the Number of Support Vectors. 480-486 - Huaqing Li, Shaoyu Wang, Feihu Qi:
Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection. 487-493 - Tao Wu, Hanqing Zhao:
Constructing Support Vector Classifiers with Unlabeled Data. 494-499 - Xiang Wu, Wenkai Lu:
Nested Buffer SMO Algorithm for Training Support Vector Classifiers. 500-505 - Chan-Yun Yang:
Support Vector Classifier with a Fuzzy-Value Class Label. 506-511 - Junping Wang, Quanshi Chen, Yong Chen:
RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application. 512-517 - Yongsheng Zhu, Chunhung Li, Youyun Zhang:
A Practical Parameters Selection Method for SVM. 518-523 - Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin:
Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application. 524-530 - Hongwei Liu, Zheng Bao:
Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel. 531-536 - Kaifeng Yao, Wenkai Lu, Shanwen Zhang, Huanqin Xiao, Yanda Li:
Hydrocarbon Reservoir Prediction Using Support Vector Machines. 537-542 - Tao Qian, Roger Xu, Chiman Kwan, Bruce Linnell, Rebecca Young:
Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station. 543-551 - Yonggang Fu, Ruimin Shen, Hongtao Lu:
Optimal Watermark Detection Based on Support Vector Machines. 552-557 - Zhifeng Hao, Shu Yu, Xiaowei Yang, Feng Zhao, Rong Hu, Yanchun Liang:
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk. 558-564 - Zhonghua Li, ShaoBai Chen, Rirong Zheng, Jianping Wu, Zongyuan Mao:
A Novel Approach to Clustering Analysis Based on Support Vector Machine. 565-570 - Gensheng Hu, Feiqi Deng:
Application of Support Vector Machine in Queuing System. 571-577 - Jiancheng Sun, Taiyi Zhang, Haiyuan Liu:
Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines. 578-585 - Li Zhang, Yugeng Xi:
Nonlinear System Identification Based on an Improved Support Vector Regression Estimator. 586-591 - Shengfeng Tian, Jian Yu, Chuanhuan Yin:
Anomaly Detection Using Support Vector Machines. 592-597 - Han Liu, Ding Liu, Jin Yu, Qi Li, Yanming Liang:
Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines. 598-604 - Yonggang Wang, Licheng Jiao, Dongfang Zhao:
Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels. 605-610 - Yunfeng Li, Zongying Ou:
Eyes Location by Hierarchical SVM Classifiers. 611-615 - Fei Xing, Ping Guo:
Classification of Stellar Spectral Data Using SVM. 616-621 - Yong Wang, Jiuqiang Han:
Iris Recognition Using Support Vector Machines. 622-628 - Chunhong Zheng, Guiwen Zheng, Licheng Jiao:
Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing Images. 629-635 - Jing Zhang, Qun Liu, Baikunth Nath:
Landmine Feature Extraction and Classification of GPR Data Based on SVM Method. 636-641 - Hyun-Gu Lee, Yong-Guk Kim, Min-Soo Jang, Sang-Jun Kim, Soek-Joo Lee, Gwi-Tae Park:
Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines. 642-647 - Bing-Yu Sun, De-Shuang Huang, Lin Guo, Zhong-Qiu Zhao:
Support Vector Machine Committee for Classification. 648-653 - Zhijin Zhao, Yunshui Zhou, Fei Mei, Jiandong Li:
Automatic Modulation Classification by Support Vector Machines. 654-659
Blind Source Separation, Independent Component Analysis and Principal Component Analysis
- Gaoming Huang, Luxi Yang, Zhenya He:
Blind Source Separation Using for Time-Delay Direction Finding. 660-665 - Tiemin Mei, Fuliang Yin:
Frequency-Domain Separation Algorithms for Instantaneous Mixtures. 666-671 - Tiemin Mei, Fuliang Yin, Jiangtao Xi, Joe F. Chicharo:
Cumulant-Based Blind Separation of Convolutive Mixtures. 672-677 - Daifeng Zha, Tianshuang Qiu, Hong Tang, Yongmei Sun, Sen Li, Lixin Shen:
A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural Network. 678-683 - Zhenwei Shi, Huanwen Tang, Yiyuan Tang:
A Clustering Approach for Blind Source Separation with More Sources than Mixtures. 684-689 - Zhijin Zhao, Fei Mei, Jiandong Li:
A Blind Source Separation Algorithm with Linear Prediction Filters. 690-695 - Guangfen Wei, Zhenan Tang, Philip C. H. Chan, Jun Yu:
A Blind Source Separation Based Micro Gas Sensor Array Modeling Method. 696-701 - Xiefeng Cheng, Ju Liu, Jianping Qiao, Yewei Tao:
A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation. 702-707 - Gang Wang, Dewen Hu:
The Existence of Spurious Equilibrium in FastICA. 708-713 - Hirohisa Hotta, Yoshimitsu Murahashi, Shinji Doki, Shigeru Okuma:
Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICA. 714-719 - Xuming Huang, Chengming Liu, Liming Zhang:
Study on Object Recognition Based on Independent Component Analysis. 720-725 - Minfen Shen, Weiling Xu, Jinyao Yang, Patch Beadle:
Application of ICA Method for Detecting Functional MRI Activation Data. 726-731 - Lisha Sun, Minfen Shen, Weiling Xu, Francis H. Y. Chan:
Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis. 732-737 - Jiande Sun, Ju Liu, Huibo Hu:
Data Hiding in Independent Components of Video. 738-743 - Xiaojiang Ma, Zhihua Hao:
Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor. 744-749 - Fuzheng Qu, Dali Zou, Xin Wang:
Substructural Damage Detection Using Neural Networks and ICA. 750-754 - Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou Liang:
Speech Segregation Using Constrained ICA. 755-760 - Xiao-Long Zhu, Xian-Da Zhang, Ying Jia:
Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation. 761-767 - Jun Liu, Songcan Chen, Zhi-Hua Zhou:
Progressive Principal Component Analysis. 768-773 - Zhan-Li Sun, De-Shuang Huang:
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach. 774-779 - Tianqi Zhang, Xiaokang Lin, Zhengzhong Zhou:
Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals. 780-785 - Yaqin Chen, Ling Lin, Gang Li, Jianming Gao, Qilian Yu:
Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model. 786-791 - Qing Li, Nanning Zheng, Lin Ma, Hong Cheng:
Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road. 792-797 - Fei Liu, Zhong-Gai Zhao:
Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis. 798-803 - Zhi-Gang Fan, Bao-Liang Lu:
An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis. 804-809 - Jiancheng Lv, Mao Ye, Zhang Yi:
Convergence Analysis for Oja+ MCA Learning Algorithm. 810-814 - Mao Ye, Zhang Yi:
On the Discrete Time Dynamics of the MCA Neural Networks. 815-821 - Wei Lin, Zheng Tian, Fan He, Xianbin Wen:
The Cook Projection Index Estimation Using the Wavelet Kernel Function. 822-827
Clustering and Classification
- Xuelei Hu, Lei Xu:
Automatic Cluster Number Determination via BYY Harmony Learning. 828-833 - Masaru Okamoto, Nan Bu, Toshio Tsuji:
Unsupervised Learning for Hierarchical Clustering Using Statistical Information. 834-839 - Xiaoshen Zheng, Wenling Liu, Pilian He, Weidi Dai:
Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map. 840-845 - Zhuo Wang, Daxin Liu, Xiaoning Feng:
Improved SOM Clustering for Software Component Catalogue. 846-851 - Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra:
Classification by Multilayer Feedforward Ensembles. 852-857 - Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. 858-863 - Masakazu Matsugu, Pierre Cardon:
Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural Networks. 864-869 - Ming-Jung Seow, Vijayan K. Asari:
Recurrent Network as a Nonlinear Line Attractor for Skin Color Association. 870-875 - Minghu Jiang, Dafan Liu, Beixing Deng, Georges G. E. Gielen:
A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks. 876-881 - FanZi Zeng, DongSheng Li, Zhengding Qiu:
An Improved Analytical Center Machine for Classification. 882-887 - Hai Zhao, Bao-Liang Lu:
Analysis of Fault Tolerance of a Combining Classifier. 888-893 - Hui Zhu, Jiafeng Liu, Xianglong Tang, Jianhuan Huang:
Training Multilayer Perceptron with Multiple Classifier Systems. 894-899 - Zhonglin Lin, Shifeng Weng, Changshui Zhang, Naijiang Lu, Zhimin Xia:
Learning the Supervised NLDR Mapping for Classification. 900-905 - Yumin Chen, Youchuan Wan, Jianya Gong, Jin Chen:
Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network. 906-911 - Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra:
Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. 912-917 - Shuiping Gou, Licheng Jiao:
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming. 918-923 - Han Lian, Zheng Wang, Jianjun Wang, Liming Zhang:
Speaker Identification Using Reduced RBF Networks Array. 924-929 - Chunyu Kang, Xinhua Zhang, Anqing Zhang, Hongwen Lin:
Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks. 930-935 - Zhilu Wu, Guanghui Ren, Xuexia Wang, Yaqin Zhao:
Automatic Digital Modulation Recognition Using Wavelet Transform and Neural Networks. 936-940 - Yisong Ye, Yan Wu, Mingliang Sun, Mingxi Jin:
Local Face Recognition Based on the Combination of ICA and NFL. 941-946 - Wenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao:
Facial Expression Recognition Using Kernel Discriminant Plane. 947-952 - Weidong Xu, Shunren Xia, Hua Xie:
Application of CMAC-Based Networks on Medical Image Classification. 953-958 - Daizhi Liu, Renming Wang, Xihai Li, Zhigang Liu:
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm. 959-964 - Wen Cao, Tian-Qiang Peng, Bi-Cheng Li:
A Remote Sensing Image Classification Method Using Color and Texture Feature. 965-970 - Gang Chen, Bicheng Li, Zhigang Guo:
Remote Sensing Image Classification Based on Evidence Theory and Neural Networks. 971-976 - Bin Lin, Jubai An, Carl Emil Brown, Hande Zhang:
Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote Sensing. 977-982 - Lishuang Li, Chunrong Chen, Degen Huang, Yuansheng Yang:
Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines. 983-987 - Dongsheng Shen, Lianwen Jin, Xiaobin Ma:
FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit Recognition. 988-995 - László Tóth, Gábor Gosztolya:
Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition. 996-1001 - Ling Bai, Ping Guo:
A Novel Approach to Stellar Recognition by Combining EKF and RBF Net. 1002-1007 - Zhigang Zeng, De-Shuang Huang, Zengfu Wang:
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks. 1008-1014 - Guangrong Ji, Hongjie Yi, Bo Qin, Hua Xu:
The Recognition of the Vehicle License Plate Based on Modular Networks. 1015-1020 - Zhao Zhang:
Neural Network Associator for Images and Their Chinese Characters. 1021-1024 - Lan You, Xuanjing Huang, Lide Wu, Hao Yu, Jun Wang, Fumihito Nishino:
Exploring Various Features to Optimize Hot Topic Retrieval on WEB. 1025-1031
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