1. ICNC 2005: Changsha, China

Neural Network Learning Algorithms

• Min Huang, Baotong Cui:
  A Novel Learning Algorithm for Wavelet Neural Networks. 1-7
  
• Ye Zhang, Yiqiang Wu, Wenquan Zhang, Yi Zheng:
  Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network. 8-14
  
• Daqi Zhu, Min Kong, YonQing Yang:
  The Improved CMAC Model and Learning Result Analysis. 15-24
  
• Yang Hui-zhong, Shao Xin-guang, Ding Feng:
  A New Smooth Support Vector Regression Based on epsilon-Insensitive Logistic Loss Function. 25-32
  
• Mozhiwen, Feng Jun, Qiu Yazhu, Shu Lan:
  Neural Network Classifier Based on the Features of Multi-lead ECG. 33-43
  
• Xiaolong Deng, Jianying Xie, Weizhong Guo, Jun Liu:
  A New Learning Algorithm for Diagonal Recurrent Neural Network. 44-50
  
• Xiangjun Wen, Xiaoming Xu, Yunze Cai:
  Study of On-line Weighted Least Squares Support Vector Machines. 51-60
  
• Huaguang Zhang, Zhanshan Wang:
  Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays. 61-70
  
• Jigang Wang, Predrag Neskovic, Leon N. Cooper:
  Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence. 71-80
  
• Qiang Lv, Jinshou Yu:
  Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application. 81-90
  
• Chunkai Zhang, Hong Hu:
  An Evolved Recurrent Neural Network and Its Application. 91-100
  
• Jian Xiao, Zongtan Zhou, Dewen Hu, Junsong Yin, Shuang Chen:
  Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction. 101-109
  
• Bülent Bolat, Tülay Yildirim:
  Active Learning for Probabilistic Neural Networks. 110-118
  
• Hongkai Ding, Yunshi Xiao, Jiguang Yue:
  Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm. 119-128
  
• Joseph P. Herbert, Jingtao Yao:
  A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps. 129-138
  
• Weijin Jiang, Yusheng Xu, Yuhui Xu:
  A Novel Intrusions Detection Method Based on HMM Embedded Neural Network. 139-148
  
• Yong Liu:
  Generate Different Neural Networks by Negative Correlation Learning. 149-156
  
• Songyot Sureerattanan, Nidapan Sureerattanan:
  New Training Method and Optimal Structure of Backpropagation Networks. 157-166
  
• Dingsheng Luo, Xinhao Wang, Xihong Wu, Huisheng Chi:
  Learning Outliers to Refine a Corpus for Chinese Webpage Categorization. 167-178
  
• Zheng Rong Yang, Natasha Young:
  Bio-kernel Self-organizing Map for HIV Drug Resistance Classification. 179-186
  
• Xiaoguang He, Jie Tian, Xin Yang:
  A New Learning Algorithm Based on Lever Principle. 187-198
  
• L. Yuan, Enfang. Sang, Wenwu Wang, Jonathon A. Chambers:
  An Effective Method to Improve Convergence for Sequential Blind Source Separation. 199-208
  
• Guiyu Feng, Dewen Hu, Ming Li, Zongtan Zhou:
  A Novel LDA Approach for High-Dimensional Data. 209-212
  
• Bo Yang, Yadong Wang, Xiaohong Su:
  Research and Design of Distributed Neural Networks with Chip Training Algorithm. 213-216
  
• Zhixia Yang, Nong Wang, Ling Jing:
  Support Vector Regression with Smoothing Property. 217-220
  
• Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu:
  A Fast SMO Training Algorithm for Support Vector Regression. 221-224
  
• Xiyang Yang, Fusheng Yu:
  Rival Penalized Fuzzy Competitive Learning Algorithm. 225-228
  
• Min Shi, Shengli Xie:
  A New Predictive Vector Quantization Method Using a Smaller Codebook. 229-236
  
• Kwang-Baek Kim, Dong-Un Lee, Kwee-Bo Sim:
  Performance Improvement of Fuzzy RBF Networks. 237-244
  

Neural Network Architectures

• Tianping Chen:
  Universal Approach to Study Delayed Dynamical Systems. 245-253
  
• Jie Liu, Junan Lu:
  Long-Range Connections Based Small-World Network and Its Synchronizability. 254-263
  
• Shoujue Wang, Chen Xu, Hong Qin, Li Weijun, Bian Yi:
  Double Synaptic Weight Neuron Theory and Its Application. 264-272
  
• Huidang Zhang, Yuyao He:
  Comparative Study of Chaotic Neural Networks with Different Models of Chaotic Noise. 273-282
  
• Michiharu Maeda, Masaya Suenaga, Hiromi Miyajima:
  A Learning Model in Qubit Neuron According to Quantum Circuit. 283-292
  
• Jing Li, Bao-Liang Lu, Michinori Ichikawa:
  An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function. 293-302
  
• Hai Zhao, Bao-Liang Lu:
  A General Procedure for Combining Binary Classifiers and Its Performance Analysis. 303-312
  
• Naohiro Fukumura, Keitaro Wakaki, Yoji Uno:
  A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information. 313-321
  
• Jian Yang, Siwei Luo:
  Adaptive and Competitive Committee Machine Architecture. 322-331
  
• Xuhua Yang, Yunbing Wei, Qiu Guan, Wanliang Wang, Shengyong Chen:
  An ART2/RBF Hybrid Neural Networks Research. 332-335
  
• Jiuzhen Liang, Han Jianmin:
  Complex Number Procedure Neural Networks. 336-339
  
• Chaojun Dong, Zhiyong Liu, Zulian Qiu:
  Urban Traffic Signal Timing Optimization Based on Multi-layer Chaos Neural Networks Involving Feedback. 340-344
  
• Weijin Jiang, Yusheng Xu, Yuhui Xu:
  Research on a Direct Adaptive Neural Network Control Method of Nonlinear Systems. 345-352
  
• Emin Germen:
  Improving the Resultant Quality of Kohonen's Self Organizing Map Using Stiffness Factor. 353-357
  
• Xieping Gao, Jun Zhang:
  A Novel Orthonormal Wavelet Network for Function Learning. 358-363
  
• Pei-Chann Chang, Yen-Wen Wang, Chen-Hao Liu:
  Fuzzy Back-Propagation Network for PCB Sales Forecasting. 364-373
  
• Min Zhao, Xiang-Guan Liu, Shi-Hua Luo:
  An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction. 374-377
  
• Guang Li, Zhengguo Lou, Le Wang, Xu Li, Walter J. Freeman:
  Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions. 378-381
  
• Lean Yu, Kin Keung Lai, Shouyang Wang:
  Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture. 382-385
  
• Li Xie:
  Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay. 386-389
  

Neurodynamics

• Wuyin Jin, Qian Lin, Yaobing Wei, Ying Wu:
  Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model. 390-396
  
• Guoyou Li, Huiguang Li, Min Dong, Changping Sun, Tihua Wu:
  An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks. 397-404
  
• Qiang Zhang, Dongsheng Zhou, Haijun Wang, Xiaopeng Wei:
  Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays. 405-410
  
• Jun Liu, Zhengguo Lou, Guang Li:
  Effect of Noises on Two-Layer Hodgkin-Huxley Neuronal Network. 411-419
  
• Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
  Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. 420-428
  
• Biswa Sengupta:
  Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses. 429-438
  
• Takashi Kuremoto, Tsuyoshi Eto, Kunikazu Kobayashi, Masanao Obayashi:
  A Chaotic Model of Hippocampus-Neocortex. 439-448
  
• Wentao Huang, Licheng Jiao, Yuelei Xu, Maoguo Gong:
  Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function. 449-455
  
• Hesham H. Amin, Robert H. Fujii:
  Learning Algorithm for Spiking Neural Networks. 456-465
  
• Xiaoping Xue:
  Exponential Convergence of Delayed Neural Networks. 466-469
  
• Xisheng Shen, Shiji Song, Lixin Cheng:
  A Neural Network for Constrained Saddle Point Problems: An Approximation Approach. 470-475
  
• Zhijie Wang, Hong Fan:
  Implementing Fuzzy Reasoning by IAF Neurons. 476-479
  
• Shi-min Wang, Qishao Lu, Ying Du:
  A Method for Quantifying Temporal and Spatial Patterns of Spike Trains. 480-489
  
• Rubin Wang, Wei Yu:
  A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-Scale Neuronal Population. 490-498
  
• Zhang Hong, Fang Lu-ping, Tong Qin-ye:
  Study on Circle Maps Mechanism of Neural Spikes Sequence. 499-507
  
• Ying Wu, Jianxue Xu, Mi He:
  Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling. 508-511
  

Statistical Neural Network Models and Support Vector Machines

• Changha Hwang, Joo Yong Shim:
  A Simple Quantile Regression via Support Vector Machine. 512-520
  
• Joo Yong Shim, Changha Hwang:
  Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. 521-527
  
• Yuangui Li, Zhonghui Hu, Yunze Cai, Weidong Zhang:
  Support Vector Based Prototype Selection Method for Nearest Neighbor Rules. 528-535
  
• Changha Hwang, Kyung Ha Seok, Daehyeon Cho:
  A Prediction Interval Estimation Method for KMSE. 536-545
  
• Wensen An, Yanguang Sun:
  An Information-Geometrical Approach to Constructing Kernel in Support Vector Regression Machines. 546-553
  
• Jigang Wang, Predrag Neskovic, Leon N. Cooper:
  Training Data Selection for Support Vector Machines. 554-564
  
• Hui-Hua Yang, Xing-Yu Wang, Yong Wang, Hai-Hua Gao:
  Model Selection for Regularized Least-Squares Classification. 565-572
  
• Zheng Xiang, Taiyi Zhang, Jiancheng Sun:
  Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space. 573-581
  
• Xiangjun Wen, Xiaoming Xu, Yunze Cai:
  Least-Squares Wavelet Kernel Method for Regression Estimation. 582-591
  
• Shengwu Xiong, Hongbing Liu, Xiaoxiao Niu:
  Fuzzy Support Vector Machines Based on lambda-Cut. 592-600
  
• Yan-fei Zhu, Lian-fang Tian, Zong-yuan Mao, Wei Li:
  Mixtures of Kernels for SVM Modeling. 601-607
  
• Fangfang Wu, Yinliang Zhao, Zefei Jiang:
  A Novel Parallel Reduced Support Vector Machine. 608-618
  
• Wei-Chiang Hong, Ping-Feng Pai, Chen-Tung Chen, Ping-Teng Chang:
  Recurrent Support Vector Machines in Reliability Prediction. 619-629
  
• Hengping Zhao, Jinshou Yu:
  A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE. 630-639
  
• Erhu Zhang, Jiwen Lu, Ganglong Duan:
  Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network. 640-649
  
• Guangli Liu, Ruizhi Sun, Wanlin Gao:
  Uncertainty Support Vector Method for Ordinal Regression. 650-654
  
• Zhengxing Sun, Lisha Zhang, Enyi Tang:
  An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition. 655-659
  
• Benyong Liu, Jing Zhang:
  Eigenspectra Versus Eigenfaces: Classification with a Kernel-Based Nonlinear Representor. 660-663
  
• Zhigang Zeng, Chaojin Fu:
  Blind Extraction of Singularly Mixed Source Signals. 664-667
  
• Wei-Chiang Hong, Ping-Feng Pai, Yu-Ying Huang, Shun-Lin Yang:
  Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance. 668-674
  
• Guiyu Feng, Dewen Hu, Ming Li, Zongtan Zhou:
  Palmprint Recognition Based on Unsupervised Subspace Analysis. 675-678
  
• Feng Du, Wenkang Shi, Huawei Guo, Liangzhou Chen:
  A New Alpha Seeding Method for Support Vector Machine Training. 679-682
  
• Gaoming Huang, Luxi Yang, Zhenya He:
  Multiple Acoustic Sources Location Based on Blind Source Separation. 683-687
  
• Zhejing Bao, Daoying Pi, Youxian Sun:
  Short-Term Load Forecasting Based on Self-organizing Map and Support Vector Machine. 688-691
  
• Lukui Shi, Qing Wu, Xueqin Shen, Pilian He:
  A Multi-class Classifying Algorithm Based on Nonlinear Dimensionality Reduction and Support Vector Machines. 692-695
  
• Yi-Bo Zhang, Chunjie Yang, Daoying Pi, Youxian Sun:
  A VSC Scheme for Linear MIMO Systems Based on SVM. 696-699
  
• Gang Wang, Xin Xu, Dewen Hu:
  Global Convergence of FastICA: Theoretical Analysis and Practical Considerations. 700-705
  
• Weimin Zhong, Daoying Pi, Youxian Sun:
  SVM Based Nonparametric Model Identification and Dynamic Model Control. 706-709
  
• Shuzhong Yang, Siwei Luo:
  Learning SVM Kernel with Semi-definite Programming. 710-715
  
• Hui Wang, Daoying Pi, Youxian Sun:
  Weighted On-line SVM Regression Algorithm and Its Application. 716-719
  

Other Topics in Neural Network Models

• Zhengxue Li, Wei Wu, Guorui Feng, Huifang Lu:
  Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs. 720-729
  
• Jinhua Xu, Daniel W. C. Ho:
  A Constructive Algorithm for Wavelet Neural Networks. 730-739
  
• Yi Shen, Guoying Zhao, Minghui Jiang, Shigeng Hu:
  Stochastic High-Order Hopfield Neural Networks. 740-749
  
• Yan Liu, Bojan Cukic, Michael Jiang, Zhiwei Xu:
  Predicting with Confidence - An Improved Dynamic Cell Structure. 750-759
  
• Woong Myung Kim, Hyon-Soo Lee:
  An Efficient Score Function Generation Algorithm with Information Maximization. 760-768
  
• Fei Hao, Long Wang, Tianguang Chu:
  A New Criterion on Exponential Stability of a Class of Discrete Cellular Neural Networks with Time Delay. 769-772
  
• Shuang Cong, Guodong Li, Yisong Zheng:
  A Novel Local Connection Neural Network. 773-777
  
• Álvaro Herrero, Emilio Corchado, José Manuel Sáiz:
  An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending. 778-782
  
• Jun Zhang, Xieping Gao, Chunhong Cao, Fen Xiao:
  A Fast Nonseparable Wavelet Neural Network for Function Approximation. 783-788
  
• Keongho Hong, Eunhwa Jeong:
  A Visual Cortex Domain Model for Illusory Contour Figures. 789-792
  

Cognitive Science

• Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng:
  ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity. 793-796
  
• Sung-il Kim, Sung-Hyun Yun, Dong-Seong Choi, Mi-sun Yoon, Yeon-hee So, Myung-Jin Lee, Won-Sik Kim, Sun Young Lee, Su-Young Hwang, Cheon-woo Han, Woo-Gul Lee, Karam Lim:
  Design and Implementation of the Individualized Intelligent Teachable Agent. 797-805
  
• Tao Zhang, Xiaojun Tang, Zhuo Yang:
  Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm. 806-810
  
• Mayumi Oyama-Higa, Tiejun Miao:
  Representation of a Physio-psychological Index Through Constellation Graphs. 811-817
  
• Sun Kook Yoo, Chung Ki Lee, Youn Jung Park, Nam H. Kim, Byung Chae Lee, Kee Sam Jeong:
  Neural Network Based Emotion Estimation Using Heart Rate Variability and Skin Resistance. 818-824
  
• Xinyu Zhao, Zuoquan Lin:
  Modeling Belief, Capability and Promise for Cognitive Agents - A Modal Logic Approach. 825-834
  
• Zhan Ding, Sanyuan Zhang, Wei Peng, Xiuzi Ye, Huaqiang Hu:
  PENCIL: A Framework for Expressing Free-Hand Sketching in 3D. 835-838
  
• Zhi-Heng Zhou, Sheng-Li Xie:
  Blocking Artifacts Measurement Based on the Human Visual System. 839-843
  
• Hyungwook Yim, Heuseok Lim, KiNam Park, Kichun Nam:
  A Computation Model of Korean Lexical Processing. 844-849
  
• Jong-Hye Han, Wonil Choi, Yongmin Chang, Ok-Ran Jeong, Kichun Nam:
  Neuroanatomical Analysis for Onomatopoeia and Phainomime Words: fMRI Study. 850-854
  
• Kang-Woo Lee:
  Cooperative Aspects of Selective Attention. 855-866
  
• Qi Zou, Siwei Luo, Jianyu Li:
  Selective Attention Guided Perceptual Grouping Model. 867-876
  
• Predrag Neskovic, Leon N. Cooper:
  Visual Search for Object Features. 877-887
  
• Devinder Thapa, In-Sung Jung, Gi-Nam Wang:
  Agent Based Decision Support System Using Reinforcement Learning Under Emergency Circumstances. 888-892
  
• Tomás Maul, Sapiyan Baba, Azwina Yusof:
  Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation. 893-902
  
• Qingyong Li, Dacheng Lin, Zhongzhi Shi:
  Task-Oriented Sparse Coding Model for Pattern Classification. 903-914
  
• Weihong Deng, Jiani Hu, Jun Guo:
  Robust Face Recognition from One Training Sample per Person. 915-924
  
• Yuntao Zhang, Ling Gong, Yongcheng Wang:
  Chinese Word Sense Disambiguation Using HowNet. 925-932
  
• Toshihiko Matsuka:
  Modeling Human Learning as Context Dependent Knowledge Utility Optimization. 933-946
  
• Yanmin Chen, Xiaolong Wang, Guan Yi:
  Automatic Text Summarization Based on Lexical Chains. 947-951
  
• Hong Yuan, Hong Li, Zhijie Zhang, Jiang Qiu:
  A General fMRI Linear Convolution Model Based Dynamic Characteristic. 952-955
  

Neuroscience Informatics, Bioinformatics, and Bio-medical Engineering

• Yan Dang, Yulei Zhang, Dongmo Zhang, Liping Zhao:
  A KNN-Based Learning Method for Biology Species Categorization. 956-964
  
• Hye-Sung Yoon, Sang-Ho Lee, Ju Han Kim:
  Application of Emerging Patterns for Multi-source Bio-Data Classification and Analysis. 965-974
  
• Li Shen, Eng Chong Tan:
  Nonlinear Kernel MSE Methods for Cancer Classification. 975-984
  
• Chunhong Jiang, Guangda Su:
  Fusing Face and Fingerprint for Identity Authentication by SVM. 985-994
  
• Wei Li, Xue-feng Zhu:
  A New Algorithm of Multi-modality Medical Image Fusion Based on Pulse-Coupled Neural Networks. 995-1001
  
• Yeun-Jin Cho, Hyeoncheol Kim:
  Cleavage Site Analysis Using Rule Extraction from Neural Networks. 1002-1008
  
• Yeon-Jin Cho, Hyeoncheol Kim, Heung-Bum Oh:
  Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA. 1009-1016
  
• Ha-Nam Nguyen, Syng-Yup Ohn, Jaehyun Park, Kyu-Sik Park:
  Combined Kernel Function Approach in SVM for Diagnosis of Cancer. 1017-1026
  
• Kyung-Sik Seo, Hyung-Bum Kim, Taesu Park, PanKoo Kim, Jong-An Park:
  Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing. 1027-1030
  
• Xiao-mei Pei, Jin Xu, Chongxun Zheng, Guang-yu Bin:
  An Improved Adaptive RBF Network for Classification of Left and Right Hand Motor Imagery Tasks. 1031-1034
  
• Wenlu Yang, Xiongjun Pi, Liqing Zhang:
  Similarity Analysis of DNA Sequences Based on the Relative Entropy. 1035-1038
  
• Hai Hu, S. B. Somiari, J. Copper, R. D. Everly, C. Heckman, Rick Jordan, R. Somiari, Jeffrey Hooke, Craig D. Shriver, Michael N. Liebman:
  Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study. 1039-1042
  
• Xiongjun Pi, Wenlu Yang, Liqing Zhang:
  Blind Clustering of DNA Fragments Based on Kullback-Leibler Divergence. 1043-1046
  
• Na-na Li, Xiao-hui Niu, Feng Shi, Xue-yan Li:
  Prediction of Protein Subcellular Locations Using Support Vector Machines. 1047-1051
  
• Guang Li, Jing Zhang, Faji Gu, Ling Yin, Yiyuan Tang, Xiaowei Tang:
  Neuroinformatics Research in China- Current Status and Future Research Activities. 1052-1056
  
• Gary F. Egan, Wei Liu, Wee Siong Soh, D. Hang:
  Australian Neuroinformatics Research - Grid Computing and e-Research. 1057-1064
  
• Wieslaw Lucjan Nowinski:
  Current Status and Future Research Activities in Clinical Neuroinformatics: Singaporean Perspective. 1065-1073
  
• Shiro Usui:
  Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node. 1074-1079
  

Neural Network Applications: Communications and Computer Networks

• Haixiang Shi, Lipo Wang:
  Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network. 1080-1089
  
• Yu Zhao, Hongsheng Xi, Zilei Wang:
  A Fast Online SVM Algorithm for Variable-Step CDMA Power Control. 1090-1099
  
• Soowhan Han, Kwangeui Lee, Jongkeuk Lee, Fredric M. Ham:
  Fourth-Order Cumulants and Neural Network Approach for Robust Blind Channel Equalization. 1100-1112
  
• Dong-Chul Park, Duc-Hoai Nguyen, Sang Jeen Hong, Yunsik Lee:
  Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network. 1113-1116
  
• Tieming Chen, Jiamei Cai:
  A Novel Remote User Authentication Scheme Using Interacting Neural Network. 1117-1120
  
• Xu Li:
  Genetic Algorithm Simulated Annealing Based Clustering Strategy in MANET. 1121-1131
  

Neural Network Applications: Expert System and Informatics

• Jianpei Zhang, Zhong-Wei Li, Jing Yang, Yuan Li:
  A Gradual Training Algorithm of Incremental Support Vector Machine Learning. 1132-1139
  
• Shasha Liao, Minghu Jiang:
  An Improved Method of Feature Selection Based on Concept Attributes in Text Classification. 1140-1149
  
• Xiao-Ke Yan, Hai-Dong Yang, He-Jun Wang, Fei-Qi Deng:
  Research on the Decision Method for Enterprise Information Investment Based on IA-BP Network. 1150-1159
  
• Hyeon Bae, Sungshin Kim, Kwang Bang Woo:
  Process Control and Management of Etching Process Using Data Mining with Quality Indexes. 1160-1169
  
• JeongYon Shim:
  Automatic Knowledge Configuration by Reticular Activating System. 1170-1178
  
• Jeong-Hoon Shin, Kwang-Seok Hong:
  An Improved Information Retrieval Method and Input Device Using Gloves for Wearable Computers. 1179-1184
  
• Jonghwa Choi, Dongkyoo Shin, Dongil Shin:
  Research on Design and Implementation of the Artificial Intelligence Agent for Smart Home Based on Support Vector Machine. 1185-1188
  
• Liang Zhao, Antonio P. G. Damiance, André Carlos Ponce Leon Ferreira de Carvalho:
  A Self-organized Network for Data Clustering. 1189-1198
  
• Qingyun Wang, Qishao Lu, Haixia Wang:
  A General Criterion of Synchronization Stability in Ensembles of Coupled Systems and Its Application. 1199-1208
  
• Xiaogang Jin, Weihong Wang:
  Complexity of Linear Cellular Automata over Z_m. 1209-1213
  

Neural Network Applications: Financial Engineering

• Serge Hayward:
  Applications of Genetic Algorithm for Artificial Neural Network Model Discovery and Performance Surface Optimization in Finance. 1214-1223
  
• Liang-Bin Lai, Ray-I Chang, Jen-Shiang Kouh:
  Mining Data by Query-Based Error-Propagation. 1224-1233
  
• Marek Hlavácek, Josef Cada, Frantisek Hakl:
  The Application of Structured Feedforward Neural Networks to the Modelling of the Daily Series of Currency in Circulation. 1234-1246
  
• Hyun-jung Kim, Kyung-shik Shin, Kyungdo Park:
  Time Delay Neural Networks and Genetic Algorithms for Detecting Temporal Patterns in Stock Markets. 1247-1255
  
• Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian:
  The Prediction of the Financial Time Series Based on Correlation Dimension. 1256-1265
  
• Dong-Chul Park:
  Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data. 1266-1269
  
• Sehun Lim:
  Toward Global Optimization of ANN Supported by Instance Selection for Financial Forecasting. 1270-1274
  
• Danilo Mattos Bonfim, Leandro Nunes de Castro:
  FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems. 1275-1278
  
• Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben:
  Data Clustering with a Neuro-immune Network. 1279-1288
  

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