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, Chitrita 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

last updated on Sun May 26 02:04:48 2013 by the dblp team
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