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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