11. ICONIP 2004: Calcutta, India

Computational Neuroscience

• Walter J. Freeman:
  Neurobiological Foundation for the Meaning of Information. 1-9
  
• Rolf Eckmiller, Oliver Baruth, Dirk Neumann:
  Neural Information Processing Efforts to Restore Vision in the Blind. 10-18
  
• Katsuki Katayama, Masafumi Yano, Tsuyoshi Horiguchi:
  Synchronous Phenomena for Two-Layered Neural Network with Chaotic Neurons. 19-30
  
• Shuichi Kato, Seiichi Sakatani, Akira Hirose:
  Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density. 31-36
  
• Toshikazu Samura, Motonobu Hattori:
  Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model. 37-43
  
• Kazuhisa Fujita, ShungQuang Huang, Yoshiki Kashimori, Takeshi Kambara:
  Neural Mechanism of Binding ITD Information with IID One for Generating Brain Map of Sound Localization. 44-49
  
• Seiichi Sakatani, Akira Hirose:
  The Spatiotemporal Dynamics of Intracellular Ion Concentration and Potential. 50-56
  
• Basabi Bhaumik, Alok Agarwal, Mona Mathur, Manish Manohar:
  A Model That Captures Receptive Field Properties of Orientation Selective Neurons in the Visual Cortex. 57-63
  
• Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer:
  Development of a Simple Cell Receptive Field Structure: A Model Based on Hetero-synaptic Interactions. 64-69
  
• Sridharan Devarajan, P. S. Prashanth, V. S. Chakravarthy:
  The Role of the Basal Ganglia in Exploratory Behavior in a Model Based on Reinforcement Learning. 70-77
  
• Kazuhisa Fujita, Eigo Kamata, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara:
  A Functional Role of FM Sweep Rate of Biosonar in Echolocation of Bat. 78-83
  
• Mona Mathur, Basabi Bhaumik:
  Orientation Map Emerges in Parallel with the Formation of Receptive Fields in a Feedforward Neurotrophic Model. 84-89
  
• Akhil R. Garg, Basabi Bhaumik, Klaus Obermayer:
  The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning. 90-95
  
• Prasun Kumar Roy:
  Stochastic Resonance Imaging - Stochastic Resonance Therapy: Preliminary Studies Considering Brain as Stochastic Processor. 96-103
  

Complex-Valued Neural Networks

• Andriyan Bayu Suksmono, Akira Hirose:
  Ultra-wideband Beamforming by Using a Complex-Valued Spatio-temporal Neural Network. 104-109
  
• Mitsuo Yoshida, Yasuaki Kuroe, Takehiro Mori:
  A Model of Hopfield-Type Quaternion Neural Networks and Its Energy Function. 110-115
  
• Akira Hirose, Yasufumi Asano, Toshihiko Hamano:
  Mode-Utilizing Developmental Learning Based on Coherent Neural Networks. 116-121
  
• Ikuko Nishikawa, Yasuaki Kuroe:
  Dynamics of Complex-Valued Neural Networks and Its Relation to a Phase Oscillator System. 122-129
  
• Iku Nemoto:
  Two Models for Theta Precession Generation Using the Complex Version of the Nagumo-Sato Neuron Model and the Hodgkin-Huxley Equations. 130-135
  

Self-organizing Maps

• Miki Sirola, Golan Lampi, Jukka Parviainen:
  Using Self-organizing Map in a Computerized Decision Support System. 136-141
  
• Arijit Laha:
  An Empirical Study on the Robustness of SOM in Preserving Topology with Respect to Link Density. 142-149
  
• Manuel Martín-Merino, Alberto Muñoz:
  Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick. 150-157
  
• Mahmoud F. Hussin, Mohamed S. Kamel, Magdy H. Nagi:
  An Efficient Two-Level SOMART Document Clustering Through Dimensionality Reduction. 158-165
  
• Kwang-Baek Kim, Dae Su Kim:
  Color Image Vector Quantization Using Wavelet Transform and Enhanced Self-organizing Neural Network. 166-171
  
• Sampsa Laine, Timo Similä:
  Using SOM-Based Data Binning to Support Supervised Variable Selection. 172-180
  

Evolutionary Computation

• A. K. Bhatia, Sandip K. Basu:
  Packing Bins Using Multi-chromosomal Genetic Representation and Better-Fit Heuristic. 181-186
  
• Mukesh A. Zaveri, Shabbir N. Merchant, Uday B. Desai:
  Data Association for Multiple Target Tracking: An Optimization Approach. 187-192
  
• Nilanjan Banerjee, Rajeev Kumar:
  Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions. 193-198
  
• Paulito P. Palmes, Shiro Usui:
  The Influence of Gaussian, Uniform, and Cauchy Perturbation Functions in the Neural Network Evolution. 199-204
  
• Holger Mauch:
  Closest Substring Problem - Results from an Evolutionary Algorithm. 205-211
  
• André Vargas Abs da Cruz, Carlos R. Hall Barbosa, Marco Aurélio Cavalcanti Pacheco, Marley B. R. Vellasco:
  Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems. 212-217
  
• Rajeev Kumar, Pramod Kumar Singh, P. P. Chakrabarti:
  Multiobjective Genetic Search for Spanning Tree Problem. 218-223
  
• Maojun Li, Shaosheng Fan, An Luo:
  A Partheno-genetic Algorithm for Combinatorial Optimization. 224-229
  
• Jing J. Liang, A. Kai Qin, Ponnuthurai N. Suganthan, S. Baskar:
  Evaluation of Comprehensive Learning Particle Swarm Optimizer. 230-235
  
• Sang-Jun Han, Kyung-Joong Kim, Sung-Bae Cho:
  Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection. 236
  
• Uday Kumar Chakraborty:
  Gray and Binary Encoding in the (1+1)-EA. 242
  

Control Systems

• Qiang Zhang, Xiaopeng Wei, Jin Xu, Dongsheng Zhou:
  Asymptotic Stability of Nonautonomous Delayed Neural Networks. 248-253
  
• Zafer Bingul:
  A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay. 254-260
  
• Yasuaki Kuroe:
  Representation and Identification of Finite State Automata by Recurrent Neural Networks. 261-268
  
• Andon V. Topalov, Okyay Kaynak:
  Neural Network Closed-Loop Control Using Sliding Mode Feedback-Error-Learning. 269-274
  
• S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, Narri Yadaiah, Atul Negi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu:
  State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks. 275-281
  

Cognitive Science

• Shohei Hidaka, Jun Saiki:
  A Connectionist Account of Ontological Boundary Shifting. 282-287
  
• Tadashi Yamazaki, Shigeru Tanaka:
  A Neural Network Model for Trace Conditioning. 288-293
  
• Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
  Chunking Phenomenon in Complex Sequential Skill Learning in Humans. 294-299
  
• Ayako Onzo, Ken Mogi:
  Cognitive Process of Emotion Under Uncertainty. 300-305
  
• Kichun Nam, Yoonhyong Lee, Chang H. Lee:
  The Locus of Word Length and Frequency Effect in Comprehending English Words by Korean-English Bilinguals and Americans. 306-315
  
• Choong-Myung Kim, Donghoon Lee, Kichun Nam:
  Cerebral Activation Areas with Respect to Word and Sentence Production by Early and Late Korean-English Bilinguals: Event-Related fMRI Study. 316-320
  

Biometrics

• Byungjun Son, Sungsoo Yoon, Yillbyung Lee:
  Fusion of Dimension Reduction Methods and Application to Face Recognition. 321-326
  
• Chakka Siva Sai Prasanna, N. Sudha, V. Kamakoti:
  A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN. 327-332
  
• Hemant A. Patil, T. K. Basu:
  The Teager Energy Based Features for Identification of Identical Twins in Multi-lingual Environment. 333-337
  
• R. Suguna, N. Sudha, C. Chandra Sekhar:
  A Fast and Efficient Face Detection Technique Using Support Vector Machine. 338-343
  
• Youn-Hee Gil, Dosung Ahn, Choonwoo Ryu, Sung Bum Pan, Yongwha Chung:
  User Enrollment Using Multiple Snapshots of Fingerprint. 344-349
  
• Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
  Signature Verification Using Static and Dynamic Features. 350-355
  
• Masakazu Matsugu, Katsuhiko Mori, Takashi Suzuki:
  Face Recognition Using SVM Combined with CNN for Face Detection. 356-361
  
• A. Pavan Kumar, Sukhendu Das, V. Kamakoti:
  Face Recognition Using Weighted Modular Principle Component Analysis. 362-367
  

Adaptive Intelligent Systems

• Takanori Koga, Keiichi Horio, Takeshi Yamakawa:
  Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control. 368-374
  
• Akbar Ghobakhlou, Richard Kilgour:
  In-vehicle Noise and Enhanced Speech Intelligibility. 375-380
  
• Akbar Ghobakhlou, David Zhang, Nikola Kasabov:
  An Evolving Neural Network Model for Person Verification Combining Speech and Image. 381-386
  
• Hideaki Kawano, Keiichi Horio, Takeshi Yamakawa:
  Adaptive Affine Subspace Self-organizing Map with Kernel Method. 387-392
  

Brain-Like Computing

• Masayasu Atsumi:
  Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability. 393-398
  
• Andrzej Buller, Ismail Ahson, Muzaffar Azim:
  Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic. 399-408
  
• Akitoshi Ogawa, Takashi Omori:
  Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks. 409-415
  
• Michal Joachimczak, Beata Grzyb, Daniel Jelinski:
  Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks. 416-421
  
• JeongYon Shim:
  Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients. 422-427
  

Learning Algorithms

• Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra:
  Some Experiments on Training Radial Basis Functions by Gradient Descent. 428-433
  
• Shirish Krishnaj Shevade, S. Sundararajan, S. Sathiya Keerthi:
  Predictive Approaches for Sparse Model Learning. 434-439
  
• Abdelhamid Bouchachia:
  Multiple Instance Learning with Radial Basis Function Neural Networks. 440-445
  
• Antanas Verikas, Marija Bacauskiene, Adas Gelzinis:
  Leverages Based Neural Networks Fusion. 446-451
  
• Alexander V. Goltsev, Ernst M. Kussul, Tatyana Baidyk:
  A Process of Differentiation in the Assembly Neural Network. 452-457
  
• L. Andrew Coward, Tamás D. Gedeon, Uditha Ratnayake:
  Managing Interference Between Prior and Later Learning. 458-464
  
• M. Shahjahan, Kazuyuki Murase:
  A Neural Learning Rule for CCA Approximation. 465-470
  
• T. N. Nagabhushan, S. K. Padma:
  Adaptive Learning in Incremental Learning RBF Networks. 471-476
  
• Xiangrui Wang, Narendra S. Chaudhari:
  Recurrent Neural Networks for Learning Mixed k^th-Order Markov Chains. 477-482
  
• Carmine Di Fiore, Stefano Fanelli, Paolo Zellini:
  An Efficient Generalization of Battiti-Shanno's Quasi-Newton Algorithm for Learning in MLP-Networks. 483-488
  
• Koichiro Yamauchi:
  Incremental Learning and Dimension Selection Through Sleep. 489-495
  
• Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
  The Most Robust Loss Function for Boosting. 496-501
  
• Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori:
  An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. 502-507
  
• Xubo B. Song, Kun Yang, Misha Pavel:
  Density Boosting for Gaussian Mixtures. 508-515
  
• Heui-Seok Lim:
  Improving kNN Based Text Classification with Well Estimated Parameters. 516-523
  
• Ryotaro Kamimura:
  One-Epoch Learning for Supervised Information-Theoretic Competitive Learning. 524-529
  
• Ryotaro Kamimura:
  Teacher-Directed Learning with Gaussian and Sigmoid Activation Functions. 530-536
  
• M. Tanvir Islam, Yoichi Okabe:
  Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model. 537-542
  
• Felix V. Agakov, David Barber:
  Variational Information Maximization for Neural Coding. 543-548
  
• Daniel Osman, Jacek Mandziuk:
  Comparison of TDLeaf(lambda) and TD(lambda) Learning in Game Playing Domain. 549-554
  
• Tuve Löfström, Ulf Johansson, Lars Niklasson:
  Rule Extraction by Seeing Through the Model. 555-560
  
• Felix V. Agakov, David Barber:
  An Auxiliary Variational Method. 561-566
  
• Ramunas Girdziusas, Jorma Laaksonen:
  Gaussian Process Regression with Fluid Hyperpriors. 567-572
  
• Ron Sun, Dehu Qi:
  Learning Team Cooperation. 573-578
  
• Yan Wang, Chunguang Zhou, Yanxin Huang, Xiaoyue Feng:
  Training Minimal Uncertainty Neural Networks by Bayesian Theorem and Particle Swarm Optimization. 579-584
  
• Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
  A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm. 585-591
  
• Masato Ito, Jun Tani:
  Generalization in Learning Multiple Temporal Patterns Using RNNPB. 592-598
  
• Basabi Chakraborty, Yusuke Manabe:
  Structural Learning of Neural Network for Continuous Valued Output: Effect of Penalty Term to Hidden Units. 599-605
  
• Artur S. d'Avila Garcez, Dov M. Gabbay, Luís C. Lamb:
  Argumentation Neural Networks. 606-612
  
• Amanda Pimentel e Silva Lins, Teresa Bernarda Ludermir:
  A Neighbor Generation Mechanism Optimizing Neural Networks. 613-618
  
• Saulat Farooque, Ajith Abraham, Lakhmi C. Jain:
  Collaborative Agent Learning Using Neurocomputing. 619-624
  

Novel Neural Networks

• Erol Gelenbe:
  Cognitive Routing in Packet Networks. 625-632
  
• Qun Song, Nikola K. Kasabov:
  TWRBF - Transductive RBF Neural Network with Weighted Data Normalization. 633-640
  
• Shen Furao, Osamu Hasegawa:
  An Incremental Neural Network for Non-stationary Unsupervised Learning. 641-646
  
• Amitava Datta, Srimanta Pal:
  Computing Convex-Layers by a Multi-layer Self-organizing Neural Network. 647-652
  
• Ryotaro Kamimura, Osamu Uchida:
  Cost-Sensitive Greedy Network-Growing Algorithm with Gaussian Activation Functions. 653-658
  

Image Processing

• P. Shivakumara, G. Hemantha Kumar, D. S. Guru, P. Nagabhushan:
  An Efficient Skew Estimation Technique for Binary Document Images Based on Boundary Growing and Linear Regression Analysis. 659-665
  
• Jieyu Zhao:
  Segmenting Moving Objects with a Recurrent Stochastic Neural Network. 666-672
  
• Kang Ryoung Park:
  Real-Time Gaze Detection via Neural Network. 673-678
  
• Chandrama Shaw, Biplab K. Sikdar, N. C. Maiti:
  CA Based Document Compression Technology. 679-685
  
• Motofumi Fukui, Noriji Kato, Hitoshi Ikeda, Hirotsugu Kashimura:
  Size-Independent Image Segmentation by Hierarchical Clustering and Its Application for Face Detection. 686-693
  
• Sang-Bok Choi, Sang-Woo Ban, Minho Lee:
  Human-Like Selective Attention Model with Reinforcement and Inhibition Mechanism. 694-699
  
• Santi P. Maity, Malay Kumar Kundu, Prasanta Kumar Nandi:
  Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel. 700-705
  
• Moon-sung Park, Il-sook Kim, Eun-kyung Cho, Young-hee Kwon:
  High Speed Extraction Model of ROI for Automatic Logistics System. 706-713
  
• Chi-Hang Chan, Irwin King:
  Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map. 714-719
  
• Shiguo Lian, Jinsheng Sun, Zhongxin Li, Zhiquan Wang:
  A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network. 720-725
  
• Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swamy, B. Yegnanarayana:
  Content-Based Video Classification Using Support Vector Machines. 726-731
  
• Hyo Sun Yoon, Gueesang Lee, Soo-Hyung Kim, Deokjai Choi:
  Fast Half Pixel Motion Estimation Based on Spatio-temporal Correlations. 732-737
  

Pattern Recognition

• T. Kalyani, V. Rajkumar Dare, D. G. Thomas:
  Local and Recognizable Iso Picture Languages. 738-743
  
• Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra:
  Multilayer Feedforward Ensembles for Classification Problems. 744-749
  
• Xubo B. Song, Misha Pavel:
  Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis. 750-757
  
• Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
  Web Documents Categorization Using Neural Networks. 758-762
  
• Samarasena Buchala, Neil Davey, Ray J. Frank, Tim M. Gale, Martin Loomes, Wanida Kanargard:
  Gender Classification of Face Images: The Role of Global and Feature-Based Information. 763-768
  
• Simith T. D'Oliveira Junior, Francisco de A. T. de Carvalho, Renata M. C. R. de Souza:
  Classification of SAR Images Through a Convex Hull Region Oriented Approach. 769-774
  
• Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Fabio C. D. Silva:
  Clustering of Interval-Valued Data Using Adaptive Squared Euclidean Distances. 775-780
  
• Subhadip Basu, C. Chaudhuri, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu:
  A Two-Pass Approach to Pattern Classification. 781-786
  
• Pradeep Kumar Shetty:
  A Long Memory Process Based Parametric Modeling and Recognition of PD Signal. 787-793
  
• Rinku Panchal, Brijesh Verma:
  A Fusion of Neural Network Based Auto-associator and Classifier for the Classification of Microcalcification Patterns. 794-799
  
• K. R. Sivaramakrishnan, Chiranjib Bhattacharyya:
  Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach. 800-805
  
• Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
  Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers. 806-813
  
• Tapan Kumar Bhowmik, Ujjwal Bhattacharya, Swapan K. Parui:
  Recognition of Bangla Handwritten Characters Using an MLP Classifier Based on Stroke Features. 814-819
  
• Niranjan Joshi, G. Sita, A. G. Ramakrishnan, Sriganesh Madhvanath:
  Elastic Matching Algorithms for Online Tamil Character Recognition. 820-826
  
• Heui-Seok Lim, Hyeoncheol Kim:
  Automated Classification of Industry and Occupation Codes Using Document Classification Method. 827-833
  
• P. S. Hiremath, B. V. Dhandra, Ravindra Hegadi, G. G. Rajput:
  Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation. 834-841
  
• Bin Huang, Bao-Liang Lu:
  Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network. 842-847
  
• Pradipta Maji, Parimal Pal Chaudhuri:
  Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining. 848-853
  
• Anne M. P. Canuto, Araken M. Santos, Marjory C. C. Abreu, Valéria Maria S. Bezerra, Fernanda M. Souza, Manuel F. Gomes Junior:
  Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks. 854-859
  
• Manuel Martín-Merino, Alberto Muñoz:
  A New MDS Algorithm for Textual Data Analysis. 860-867
  

Neuroinformatics

• Deepak Mishra, Abhishek Yadav, Prem Kumar Kalra:
  Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model. 868-873
  
• Lipo Wang:
  Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore. 874-879
  
• Akira Sato, Noriyuki Morita, Tetsushi Sadakata, Fumio Yoshikawa, Yoko Shiraishi-Yamaguchi, JinHong Huang, Satoshi Shoji, Mineko Tomomura, Yumi Sato, Emiko Suga, Yukiko Sekine, Aiko Kitamura, Yasuyuki Shibata, Teiichi Furuichi:
  Deciphering the Genetic Blueprint of Cerebellar Development by the Gene Expression Profiling Informatics. 880-884
  
• Soo-Young Lee:
  Korean Neuroinformatics Research Program: From the Second Phase to the Third Phase. 885-890
  
• Prasun Kumar Roy, Nandini Chatterjee Singh:
  A Guided Tour of Neuroinformatics Research in India. 891-897
  

Fuzzy Systems

• Daming Shi, Atul Harkisanka, Hiok Chai Quek:
  CMAC with Fuzzy Logic Reasoning. 898-903
  
• Bijay Baran Pal, Animesh Biswas:
  A Fuzzy Multilevel Programming Method for Hierarchical Decision Making. 904-911
  
• Wlodzislaw Duch, Marcin Blachnik:
  Fuzzy Rule-Based Systems Derived from Similarity to Prototypes. 912-917
  
• Vadim V. Borisov, Alexander S. Fedulov:
  Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model. 918-922
  
• Sharmistha Panda, Sarat Kumar Patra:
  Development of Adaptive Fuzzy Based Multi-user Detection Receiver for DS-CDMA. 923-928
  
• Marcelo Andrade Teixeira, Gerson Zaverucha:
  A Partitioning Method for Fuzzy Probabilistic Predictors. 929-934
  
• Gunjan, Biswanath N. Chatterji:
  Fuzzy Compactness Based Adaptive Window Approach for Image Matching in Stereo Vision. 935-940
  

Neuro-fuzzy Systems

• Prasanna Lokuge, Damminda Alahakoon:
  BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals. 941-946
  
• Zaheeruddin, Garima:
  A Neuro-fuzzy Approach for Predicting the Effects of Noise Pollution on Human Work Efficiency. 947-952
  
• Cleber Zanchettin, Teresa Bernarda Ludermir:
  Evolving Fuzzy Neural Networks Applied to Odor Recognition. 953-958
  
• C. Shunmuga Velayutham, Satish Kumar:
  Differential Evolution Based On-Line Feature Analysis in an Asymmetric Subsethood Product Fuzzy Neural Network. 959-964
  
• Manish Manori A., Manish Maheshwari, Kuldeep Belawat, Sanjeev Jain, P. K. Chande:
  Neuro-fuzzy System for Clustering of Video Database. 965-970
  
• Snjezana Soltic, Shaoning Pang, Nikola Kasabov, Susan P. Worner, Lora Peacock:
  Dynamic Neuro-fuzzy Inference and Statistical Models for Risk Analysis of Pest Insect Establishment. 971-976
  
• Kwang-Baek Kim, Choong Shik Park:
  An Enhanced Fuzzy Multilayer Perceptron. 977-982
  

Hybrid Systems

• Siva S. Sivatha Sindhu, P. Ramasubramanian, A. Kannan:
  Intelligent Multi-agent Based Genetic Fuzzy Ensemble Network Intrusion Detection. 983-988
  
• Jyh-Yeong Chang, Chien-Wen Cho, Su-Hwang Hsieh, Shi-Tsung Chen:
  Genetic Algorithm Based Fuzzy ID3 Algorithm. 989-995
  
• Ricardo Matsumura de Araújo, Luís C. Lamb:
  Neural-Evolutionary Learning in a Bounded Rationality Scenario. 996-1001
  
• Yi Xu, Narendra S. Chaudhari:
  Rule Extraction Framework Using Rough Sets and Neural Networks. 1002-1007
  
• A. K. Chakraborty, P. Guha, B. Chattopadhyay, S. Pal, J. Das:
  A Fusion Neural Network for Estimation of Blasting Vibration. 1008-1013
  

Feature Analysis

• E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao:
  Nonlinear Feature Extraction Using Evolutionary Algorithm. 1014-1019
  
• Srilatha Chebrolu, Ajith Abraham, Johnson P. Thomas:
  Hybrid Feature Selection for Modeling Intrusion Detection Systems. 1020-1025
  
• Zhi-Gang Fan, Kaian Wang, Bao-Liang Lu:
  Feature Selection for Fast Image Classification with Support Vector Machines. 1026-1031
  
• Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
  Dimensionality Reduction by Semantic Mapping in Text Categorization. 1032-1037
  
• Ashutosh Saxena, Abhinav Gupta, Amitabha Mukerjee:
  Non-linear Dimensionality Reduction by Locally Linear Isomaps. 1038-1043
  

Independent Component Analysis

• Erkki Oja:
  Applications of Independent Component Analysis. 1044-1051
  
• Manabu Kotani, Hiroki Takabatake, Seiichi Ozawa:
  Supervised Independent Component Analysis with Class Information. 1052-1057
  
• Dimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis Cavouras, George Nikiforidis:
  Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification. 1058-1063
  
• Liqing Zhang:
  Temporal Independent Component Analysis for Separating Noisy Signals. 1064-1069
  
• Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee:
  Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model. 1070-1075
  
• Chandra Shekhar Dhir, Hyung-Min Park, Soo-Young Lee:
  Permutation Correction of Filter Bank ICA Using Static Channel Characteristics. 1076-1081
  

Ant Colony

• Nadia Nedjah, Luiza de Macedo Mourelle:
  Minimal Addition-Subtraction Chains with Ant Colony. 1082-1087
  
• Vahid Sherafat, Leandro Nunes de Castro, Eduardo R. Hruschka:
  TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies. 1088-1093
  
• Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
  Definition of Capacited p-Medians by a Modified Max Min Ant System with Local Search. 1094-1100
  
• Siok Lan Ong, Weng-Kin Lai, Tracy S. Y. Tai, Choo Hau Ooi, Kok Meng Hoe:
  Investigations into the Use of Supervised Multi-agents for Web Documents Categorization. 1101-1109
  
• Anthony Brabazon, Arlindo Silva, Tiago Ferra de Sousa, Michael O'Neill, Robin Matthews, Ernesto Costa:
  OrgSwarm - A Particle Swarm Model of Organizational Adaptation. 1110-1116
  

Neural Network Hardware

• Hidehiro Nakano, Toshimichi Saito:
  Analysis of Synchronous Time in Chaotic Pulse-Coupled Networks. 1117-1122
  
• Hiroshi Hamanaka, Hiroyuki Torikai, Toshimichi Saito:
  A Spiking Oscillator with Quantized State and Its Pulse Coding Characteristics. 1123-1128
  
• Jae Woo Wee, Chong Ho Lee:
  Concurrent Support Vector Machine Processor for Disease Diagnosis. 1129-1134
  

Robotics

• Yasuo Matsuyama, Satoshi Yoshinaga, Hirofumi Okuda, Keisuke Fukumoto, Satoshi Nagatsuma, Kazuya Tanikawa, Hiroto Hakui, Ryusuke Okuhara, Naoto Katsumata:
  Towards the Unification of Human Movement, Animation and Humanoid in the Network. 1135-1141
  
• Shubao Liu, Jun Wang:
  A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators. 1142-1147
  
• Keiji Kamei, Masumi Ishikawa:
  A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot. 1148-1153
  
• Artur M. Arsenio:
  On the Use of Cognitive Artifacts for Developmental Learning in a Humanoid Robot. 1154-1159
  
• J. K. Mukherjee:
  Visual Servo Control for Intelligent Guided Vehicle. 1160-1165
  

Signal Processing

• Tetsuya Tsukada, Yoshifumi Sekine:
  A Basilar Membrane Model Using Simulink for Hearing-Aid Systems. 1166-1171
  
• Rajesh M. Hegde, Hema A. Murthy:
  Cluster and Intrinsic Dimensionality Analysis of the Modified Group Delay Feature for Speaker Classification. 1172-1178
  
• K. Sreenivasa Rao, S. R. Mahadeva Prasanna, B. Yegnanarayana:
  Two-Stage Duration Model for Indian Languages Using Neural Networks. 1179-1185
  
• Bin Xia, Liqing Zhang:
  Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure. 1186-1191
  
• Goutam Saha, Pankaj Kumar, Sandipan Chakroborty:
  A Comparative Study of Feature Extraction Algorithms on ANN Based Speaker Model for Speaker Recognition Applications. 1192-1197
  
• Debi Prasad Das, Ganapati Panda, Sanghamitra Sabat:
  Development of FLANN Based Multireference Active Noise Controllers for Nonlinear Acoustic Noise Processes. 1198-1203
  
• P. Prajith, N. S. Sreekanth, N. K. Narayanan:
  Phase Space Parameters for Neural Network Based Vowel Recognition. 1204-1209
  
• N. Dhananjaya, S. Guruprasad, B. Yegnanarayana:
  Speaker Segmentation Based on Subsegmental Features and Neural Network Models. 1210-1215
  

Support Vector Machine

• Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
  Morozov, Ivanov and Tikhonov Regularization Based LS-SVMs. 1216-1222
  
• Yasushi Kikawa, Koji Oguri:
  A Study for Excluding Incorrect Detections of Holter ECG Data Using SVM. 1223-1228
  
• Daoqiang Zhang, Keren Tan, Songcan Chen:
  Semi-supervised Kernel-Based Fuzzy C-Means. 1229-1234
  
• Yo Horikawa:
  Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification. 1235-1240
  
• Anurag Sahajpal, Terje Kristensen, Gaurav Kumar:
  Phoneme Transcription by a Support Vector Machine. 1241-1246
  
• Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
  A Comparison of Pruning Algorithms for Sparse Least Squares Support Vector Machines. 1247-1253
  
• Kyung-shik Shin, Kyoung Jun Lee, Hyun-jung Kim:
  Support Vector Machines Approach to Pattern Detection in Bankruptcy Prediction and Its Contingency. 1254-1259
  
• Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
  Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. 1260-1265
  
• D. Srikrishna Satish, C. Chandra Sekhar:
  Kernel Based Clustering for Multiclass Data. 1266-1272
  
• Ha-Nam Nguyen, Syng-Yup Ohn, Woo-Jin Choi:
  Combined Kernel Function for Support Vector Machine and Learning Method Based on Evolutionary Algorithm. 1273-1278
  

Time Series Prediction

• Alexander I. Galushkin, A. S. Katsin, Svetlana V. Korobkova, L. S. Kuravsky:
  Neural Network Classification Algorithm for the Small Size Training Set Situation in the Task of Thin-Walled Constructions Fatigue Destruction Control. 1279-1284
  
• R. Srikanth, R. Muralishankar, A. G. Ramakrishnan:
  Wavelet-Based Estimation of Hemodynamic Response Function. 1285-1291
  
• Huaien Luo, Sadasivan Puthusserypady:
  Neural Networks for fMRI Spatio-temporal Analysis. 1292-1297
  
• Dongwon Kim, Sung-Hoe Huh, Gwi-Tae Park:
  Modeling Corrupted Time Series Data via Nonsingleton Fuzzy Logic System. 1298-1303
  

Bioinformatics

• Mêuser Jorge Silva Valença, Teresa Bernarda Ludermir:
  Hydrological Forecasting and Updating Procedures for Neural Network. 1304-1309
  
• Ranjith Vasireddy, Somenath Biswas:
  Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets. 1310-1315
  
• Chin-Teng Lin, Ken-Li Lin, Chih-Hsien Yang, I-Fang Chung, Chuen-Der Huang, Yuh-Shyong Yang:
  Protein Metal Binding Residue Prediction Based on Neural Networks. 1316-1321
  
• Musa Alci, Musa H. Asyali:
  Assessment of Reliability of Microarray Data Using Fuzzy C-Means Classification. 1322-1327
  
• Horia-Nicolai L. Teodorescu, Lucian Iulian Fira:
  DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors. 1328-1333
  
• Jae-Hong Eom, Seong-Bae Park, Byoung-Tak Zhang:
  Genetic Mining of DNA Sequence Structures for Effective Classification of the Risk Types of Human Papillomavirus (HPV). 1334-1343
  
• Nikola K. Kasabov, Zeke S. H. Chan, Vishal Jain, Igor Sidorov, Dimiter S. Dimitrov:
  Gene Regulatory Network Discovery from Time-Series Gene Expression Data - A Computational Intelligence Approach. 1344-1353
  
• Karmeshu, A. Krishnamachari:
  Sequence Variability and Long-Range Dependence in DNA: An Information Theoretic Perspective. 1354-1361