CSDL - Proceedings I

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EM Algorithms for Self-Organizing Maps (Abstract)

Tom Heskes, University of Nijmegen

Jan-Joost Spanjers, University of Nijmegen

Wim Wiegerinck, University of Nijmegen

pp. 6009

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The Growing Hierarchical Self-Organizing Map (Abstract)

Michael Dittenbach, Technische Universit?t Wien

Dieter Merkl, Technische Universit?t Wien

Andreas Rauber, Technische Universit?t Wien

pp. 6015

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Context Quantization and Contextual Self-Organizing Maps (Abstract)

Thomas Voegtlin, CNRS UPR

pp. 6020

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Self-Organization in the SOM and Lebesque Continuity of the Input Distribution (Abstract)

John A. Flanagan, Helsinki University of Technology

pp. 6026

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Session HD2: Adaptive Resonance Theory Networks II

Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network (Abstract)

Eric Granger, Department of National Defense and ?cole Polytechnique de Montr?al

Mark A. Rubin, Boston University

Stephen Grossberg, Boston University

Pierre Lavoie, Department of National Defense

pp. 6035

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Hierarchical ARTMAP (Abstract)

Stephen J. Verzi, University of New Mexico

Gregory L. Heileman, University of New Mexico

Michael Georgiopoulos, University of Central Florida

Michael J. Healy, The Boeing Company

pp. 6041

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MicroARTMAP: Use of Mutual Information for Category Reduction in Fuzzy ARTMAP (Abstract)

E. Gómez Sánchez, University of Valladolid

Y.A. Dimitriadis, University of Valladolid

J.M. Cano Izquierdo, University of Cartagena

J. López Coronado, University of Cartagena

pp. 6047

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Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks (Abstract)

Dimitrios Charalampidis, University of Central Florida

Michael Georgiopoulos, University of Central Florida

Takis Kasparis, University of Central Florida

pp. 6053

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Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning (Abstract)

Georgios C. Anagnostopoulos, University of Central Florida

Michael Georgiopoulos, University of Central Florida

pp. 6059

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Session HD3: Manufacturing

Surface Identification Using Angle Resolved Light Scatter Measurements (Abstract)

T. Rinder, University of the Federal Armed Forces in Hamburg

H. Rothe, University of the Federal Armed Forces in Hamburg

pp. 6067

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Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study (Abstract)

Walter Maydl, University of Passau

Bernhard Sick, University of Passau

pp. 6073

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Session HD6: Speech Processing II

A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition (Abstract)

Rhee Man Kil, Korea Advanced Institute of Science and Technology

Young-Ik Kim, Korea Advanced Institute of Science and Technology

Geon Hyoung Lee, Korea Advanced Institute of Science and Technology

pp. 6081

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Speaker Adaptation based on Judge Network with Small Adaptation Words (Abstract)

Jae-Hoon Jeong, Korea Advanced Institute of Science and Technology

Soo-Young Lee, Korea Advanced Institute of Science and Technology

pp. 6087

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Self-Organizing Semantic Maps of Japanese Nouns in Terms of Adnominal Constituents (Abstract)

Qing Ma, Ministry of Posts and Telecommunications

Kyoko Kanzaki, Ministry of Posts and Telecommunications

Masaki Murata, Ministry of Posts and Telecommunications

Masao Utiyama, Ministry of Posts and Telecommunications

Kiyotaka Uchimoto, Ministry of Posts and Telecommunications

Hitoshi Isahara, Ministry of Posts and Telecommunications

pp. 6091

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Text Independent Speaker Verification Using Modular Neural Network (Abstract)

Ig-Tae Um, Sungkyunkwan University

Jong-Jin Won, Sungkyunkwan University

Moon-Hyun Kim, Sungkyunkwan University

pp. 6097

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Session HD7: Communications V

A Reconfigurable Neural Environment on Active Networks (Abstract)

A. Chella, Consiglio Nazionale delle Ricerche and Universit? di Palermo

D. Guarino, Consiglio Nazionale delle Ricerche and Universit? di Palermo

G. Di Fatta, Consiglio Nazionale delle Ricerche and Universit? di Palermo

G. Favarò, Universit? di Palermo

G. Lo Re, Consiglio Nazionale delle Ricerche

pp. 6105

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Neural Network in Fast Simulation Modeling (Abstract)

Enjie Liu, University of London

Laurie Cuthbert, University of London

John Schormans, University of London

Gary Stoneley, Nortel Networks

pp. 6109

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Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources (Abstract)

Anastasios D. Doulamis, National Technical University of Athens

Nikolaos D. Doulamis, National Technical University of Athens

Stefanos D. Kollias, National Technical University of Athens

pp. 6114

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Intelligent Call Transfer Based on Reinforcement Learning (Abstract)

Dragan Jevtic, University of Zagreb

Denis Sablic, University of Zagreb

pp. 6120

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Session HD8: Special Session on 'Artificial Neural Networks for Mobile Robots'

Control of Chaotic Behavior with ANN (Abstract)

A. d'Anjou, UPV/EHU

F.J. Torrealdea, UPV/EHU

C. Sarasola, UPV/EHU

pp. 6127

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Increased Robustness in Visual Processing with SOM-Based Filtering (Abstract)

Elsa Fernandez, UPV/EHU

Imanol Echave, UPV/EHU

Manuel Graña, UPV/EHU

pp. 6131

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Robust Visual Recognition with High-Order Gaussian Synapses Networks (Abstract)

J.L. Crespo, Universidade da Coru?

J. Santos, Universidade da Coru?

R.J. Duro, Universidade da Coru?

pp. 6135

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Morphological Neural Networks for Robust Visual Processing in Mobile Robotics (Abstract)

B. Raducanu, Universidad del Pa?s Vasco

M. Graña, Universidad del Pa?s Vasco

pp. 6140

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Applying Synaptic Delays for Virtual Sensing and Actuation in Mobile Robots (Abstract)

F. Bellas, Universidade da Coru?

J.A. Becerra, Universidade da Coru?

J. Santos, Universidade da Coru?

R.J. Duro, Universidade da Coru?

pp. 6144

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Session HE1: Self-Organizing Maps II

Structure Formation in Visual Cortex Based on a Curved Feature Space (Abstract)

Norbert Mayer, Max-Planck-Institut f?r Str?mungsforschung

J. Michael Herrmann, Max-Planck-Institut f?r Str?mungsforschung

Theo Geisel, Max-Planck-Institut f?r Str?mungsforschung

pp. 6153

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Assessing Self-Organization Using Order Metrics (Abstract)

Arnulfo P. Azcarraga, National University of Singapore

pp. 6159

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Temporal Knowledge Discovery for Multivariate Time Series with Enhanced Self-Organizing Maps (Abstract)

G. Guimarães, Universidade Nova de Lisboa

pp. 6165

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Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm (Abstract)

Mu-Chun Su, Tamkang University

Chien-Hsing Chou, Tamkang University

Hsiao-Te Chang, Tamkang University

pp. 6171

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parSOM: A Parallel Implementation of the Self-Organizing Map Exploiting Cache Effects: Making the SOM Fit for Interactive High-Performance Data Analysis (Abstract)

Andreas Rauber, Vienna University of Technology

Philipp Tomsich, Vienna University of Technology

Dieter Merkl, Vienna University of Technology

pp. 6177

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Artificial Neural Networks Applied in Study of Atmospheric Parameters to High Voltage Substations Concerning Lightning (Abstract)

Session HE2: Identification III

André N. de Souza, University of S?o Paulo

Ivan N. da Silva, University of S?o Paulo

Mario E. Bordon, University of S?o Paulo

pp. 6185

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Soft Computing Techniques for Modeling Geophysical Data (Abstract)

Giuseppe Nunnari, Universit? di Catania

Libero Bertucco, Universit? di Catania

pp. 6191

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Data Interpolation Using Kohonen Networks (Abstract)

Olivier Sarzeaud, ECTIA

Yann Stéphan, EPSHOM/CMO

pp. 6197

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Using Neural Networks for Estimation of Aquifer Dynamical Behavior (Abstract)

Ivan N. da Silva, University of S?o Paulo

Nilton J. Saggioro, University of S?o Paulo

Jose A. Cagnon, University of S?o Paulo

pp. 6203

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A Comparison Study between Artificial Neural Networks and AR-Models, Applied to Norwegian Inflow Time Series (Abstract)

Ingrid Schjolberg, SINTEF

pp. 6208

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Session HE3: Power Systems

A Reinforcement Learning Based Neural Multi-Agent-System for Control of a Combustion Process (Abstract)

V. Stephan, Ilmenau Technical University

K. Debes, Ilmenau Technical University

H.-M. Gross, Ilmenau Technical University

F. Wintrich, ORFEUS Combustion Engineering GmbH

H. Wintrich, ORFEUS Combustion Engineering GmbH

pp. 6217

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Acoustic Emission, Cylinder Pressure and Vibration: A Multisensor Approach to Robust Fault Diagnosis (Abstract)

Amanda J.C. Sharkey, University of Sheffield

Gopinath O. Chandroth, University of Sheffield

Noel E. Sharkey, University of Sheffield

pp. 6223

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Neuro-Fuzzy Approaches to Short-Term Electrical Load Forecasting (Abstract)

Witold Bartkiewicz, University of L?

pp. 6229

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Uncertainty of the Short-Term Electrical Load Forecasting in Utilities (Abstract)

Witold Bartkiewicz, University of L?

Zbigniew Gontar, University of L?

Jerzy S. Zielinski, University of L?

Witold Bardzki, Biurosystem S.A.

pp. 6235

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A Hierarchical Neural Model in Short-Term Load Forecasting (Abstract)

Otávio A. S. Carpinteiro, Escola Federal de Engenharia de Itajub?

Alexandre P. A. da Silva, Escola Federal de Engenharia de Itajub?

Carlos H.L. Feichas, Escola Federal de Engenharia de Itajub?

pp. 6241

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Session HE6: Signal Processing

Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network (Abstract)

Masaru Teranishi, Nara National College of Technology

Sigeru Omatu, Osaka Prefecture University

Toshihisa Kosaka, Glory Ltd.

pp. 6249

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A Hierarchical Neural Network-Based Approach to VIRGO Noise Identification (Abstract)

F. Acernese, Universit? di Salerno

F. Barone, Universit? di Salerno and Istituto Nazionale di Fisica Nucleare, sez. Napoli

A. Eleuteri, Istituto Nazionale di Fisica Nucleare, sez. Napoli and Universit? di Napoli

F. Garufi, Istituto Nazionale di Fisica Nucleare, sez. Napoli

L. Milano, Istituto Nazionale di Fisica Nucleare, sez. Napoli and Universit? di Napoli ?Federico II?

R. Tagliaferri, Universit? di Salerno, INFM unit? di Salerno and IIASS ?E. R. Caianiello?

pp. 6253

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An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas (Abstract)

R. Mukai, California Institute of Technology

P. Arabshahi, California Institute of Technology

V.A. Vilnrotter, California Institute of Technology

pp. 6259

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Classifying Emitters in the High Frequency Range with Self-Organizing Maps (Abstract)

Karsten Fanghänel, Universit?t der Bundeswehr Hamburg

Kuno Köllmann, Universit?t der Bundeswehr Hamburg

Frank Raps, Universit?t der Bundeswehr Hamburg

Hans Christoph Zeidler, Universit?t der Bundeswehr Hamburg

pp. 6265

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A New Method for Tracking Modulations in Tonal Music in Audio Data Format (Abstract)

Hendrik Purwins, CCRMA and Technical University Berlin

Benjamin Blankertz, University of M?nster

Klaus Obermayer, Technical University Berlin

pp. 6270

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Session HE7: Data Analysis II

Bayesian Neural Network for Fermentation Control (Abstract)

pp. 6279

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The GeTLS EXIN Neuron for Linear Regression (Abstract)

Giansalvo Cirrincione, Katholieke Universiteit Leuven

Sabine Van Huffel, Katholieke Universiteit Leuven

Maurizio Cirrincione, CERISEP-CNR

pp. 6285

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Regression Analysis for Rival Penalized Competitive Learning Binary Tree (Abstract)

Xue Qun Li, Chinese University of Hong Kong

Irwin King, Chinese University of Hong Kong

pp. 6290

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A Classification Scheme for Applications with Ambiguous Data (Abstract)

Thomas P. Trappenberg, University of Oxford

Andrew D. Back, Katestone Scientific

pp. 6296

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Empirical Modeling of Very Large Data Sets Using Neural Networks (Abstract)

Aaron J. Owens, DuPont Central Research and Development

pp. 6302

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Session HE8: Robotics III

Multi-Objective Behavior Coordinate for a Mobile Robot with Fuzzy Neural Networks (Abstract)

Naoyuki Kubota, Osaka Institute of Technology

Yusuke Nojima, Osaka Institute of Technology

Fumio Kojima, Kobe University

Toshio Fukuda, Nagoya University

pp. 6311

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Pose Classification Using Support Vector Machines (Abstract)

E. Ardizzone, University of Palermo

A. Chella, University of Palermo

R. Pirrone, University of Palermo

pp. 6317

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Time Series Segmentation Using an Adaptive Resource Allocating Vector Quantization Network Based on Change Detection (Abstract)

Fredrik Linåker, University of Sk?vde and University of Sheffield

Lars Niklasson, University of Sk?vde

pp. 6323

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Back-Propagation Learning in Real Autonomous Mobile Robot Using Proximal and Distal Evaluation of Behavior (Abstract)

Hirotaka Akita, Fukui University

Monirul Islam, Fukui University

Tooru Matumoto, Fukui University

Kazuyuki Murase, Fukui University

pp. 6329

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MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment (Abstract)

Catarina Silva, Universidade de Coimbra and Escola Superior de Tecnologia e Gest?o - Leiria

Manuel Crisóstomo, Instituto de Sistemas e Rob?tica - Coimbra

Bernardete Ribeiro, Universidade de Coimbra

pp. 6334

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Session HF1: Economics and Finance II

Cash Flow Forecasting Using Supervised and Unsupervised Neural Networks (Abstract)

Larisa Lokmic, Monash University

Kate A. Smith, Monash University

pp. 6343

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Support Vector Machine for Regression and Applications to Financial Forecasting (Abstract)

Theodore B. Trafalis, University of Oklahoma

Huseyin Ince, University of Oklahoma

pp. 6348

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Selecting Bankruptcy Predictors Using a Support Vector Machine Approach (Abstract)

Alan Fan, University of Melbourne

Marimuthu Palaniswami, University of Melbourne

pp. 6354

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Testing the Predictability of the Cyprus Stock Exchange: The Case of an Emerging Market (Abstract)

Andreas S. Andreou, University of Cyprus

Constantinos C. Neocleous, University of Cyprus

Christos N. Schizas, University of Cyprus

Costas Toumpouris, CLR Stockbrokers Ltd.

pp. 6360

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Session HF2: Fault Diagnosis and Defect Identification II

Role of Artificial Neural Networks and Wavelets in On-Line Reliability Monitoring of Physical Systems (Abstract)

Steve F. Hiebert, North Dakota State University

Ratna Babij Chinnamt, North Dakota State University

pp. 6369

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Neural Networks for Novelty Detection in Airframe Strain Data (Abstract)

Simon J. Hickinbotham, University of York

James Austin, University of York

pp. 6375

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Non-Destructive Test by the Hopfield Network (Abstract)

S. Barcherini, University of Perugia

L. Cipiccia, University of Perugia

M. Maggi, University of Perugia

S. Fiori, University of Perugia

P. Burrascano, University of Perugia

pp. 6381

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Session HF3: Support Vector Machines II

Geometric Neural Networks and Support Multi-Vector Machines (Abstract)

Eduardo Bayro-Corrochano, Centro de Investigaciones Matem?ticas

Refugio Vallejo, Centro de Investigaciones Matem?ticas

pp. 6389

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A New Approach of Modifying SVM Outputs (Abstract)

Ana Madevska-Bogdanova

Dragan Nikolic

pp. 6395

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Optimization on Support Vector Machines (Abstract)

João Pedro Pedroso, Universidade de Lisboa

Noboru Murata, Riken Brain Science Institute

pp. 6399

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Towards an Incremental SVM for Regression (Abstract)

Menita Carozza, Universit? del Sannio

Salvatore Rampone, Universit? del Sannio

pp. 6405

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Neural Network Realization of Support Vector Methods for Pattern Classification (Abstract)

Ying Tan, University of Science and Technology of China

Youshen Xia, Chinese University of Hong Kong

Jun Wang, Chinese University of Hong Kong

pp. 6411

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Session HF4: Neurodynamics and Chaos II

Randomly Connected Neural Networks Displaying 1/f Spectra (Abstract)

Hiroki Suyari, Chiba University

Yoshinobu Kamitani, Chiba University

Ikuo Matsuba, Chiba University

pp. 6419

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Bifurcating Pulsed Neural Networks, Chaotic Neural Networks and Parametric Recursions: Conciliating Different Frameworks in Neuro-Like Computing (Abstract)

Emilio Del Moral Hernandez, University of S?o Paulo and University of Pennsylvania

pp. 6423

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Study of a Sequence of Neural Oscillators (Abstract)

Rafael Prieto M.

Alberto A. Herrera B.

José Luis Pérez S.

Alejandro Padrón G.

pp. 6429

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Dynamical Analysis of an Oscillatory Cortical Neural Network (Abstract)

Wilson A. Truccolo, Florida Atlantic University

Mingzhou Ding, Florida Atlantic University

Steven L. Bressler, Florida Atlantic University

pp. 6434

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Session HF5: Network Optimization

Neural Network Pruning for Function Approximation (Abstract)

Rudy Setiono, National University of Singapore

Adam Gaweda, University of Louisville

pp. 6443

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A New Method to Prune the Neural Network (Abstract)

Weishui Wan, Kyushu University

Kotaro Hirasawa, Kyushu University

Jinglu Hu, Kyushu University

Chunzhi Jin, Kyushu University

pp. 6449

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Input-Side Training in Constructive Neural Networks Based on Error Scaling and Pruning (Abstract)

L. Ma, Concordia University

K. Khorasani, Concordia University

pp. 6455

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On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario (Abstract)

Katsuyuki Hagiwara, Mie University

Kazuhiro Kuno, Mie University

Shiro Usui, Toyohashi University of Technology

pp. 6461

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An Algorithm for Automatic Design of Two Hidden Layered Artificial Neural Networks (Abstract)

M. Monirul Islam, Fukui University

K. Murase, Fukui University

M. Shahjahan, BIT Khulna

pp. 6467

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Session HF6: Applications to Optimization I

Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems (Abstract)

Fuyu Tian, Nanyang Technological University

Lipo Wang, Nanyang Technological University

pp. 6475

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Theoretical Considerations on the Dynamics of Hysteresis Binary Hopfield Networks for Combinatorial Optimization (Abstract)

Satoshi Matsuda

pp. 6480

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Solving Nonlinear Optimization Problems Using Networks Of Spiking Neurons (Abstract)

Rainer Malaka, Technical University of Munich

Sebastian Buck, Technical University of Munich

pp. 6486

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A Recurrent Neural Network for Solving Nonlinear Projection Equations (Abstract)

Youshen Xia, Chinese University of Hong Kong

Jun Wang, Chinese University of Hong Kong

pp. 6492

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Rescaling the Energy Function in Hopfield Networks (Abstract)

Xinchuan Zeng, Brigham Young University

Tony R. Martinez, Brigham Young University

pp. 6498

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Session HF7: Applications to Optimization II

A New Deterministic Annealing Algorithm for Maximum Clique (Abstract)

Arun Jagota, University of California at Santa Cruz

Marcello Pelillo, Universit? Ca' Foscari di Venezia

Anand Rangarajan, Yale University

pp. 6505

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A Modified Hopfield Model for Solving the N-Queens Problem (Abstract)

Ivan N. da Silva, University of S?o Paulo

Andre N. de Souza, University of S?o Paulo

Mario E. Bordon, University of S?o Paulo

pp. 6509

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Neural Global Router (Abstract)

Priya Alti, Indian Institute of Technology

Basabi Bhaumik, Indian Institute of Technology

pp. 6515

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Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique (Abstract)

Gang Feng, University of Miami

Christos Douligeris, University of Miami

pp. 6521

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Session HF8: Fuzzy Neural Systems II

Robust Function Approximation Using Fuzzy Rules with Ellipsoidal Regions (Abstract)

Hiroyasu Kubota, Kobe University

Hisashi Tamaki, Kobe University

Shigeo Abe, Kobe University

pp. 6529

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An Enhanced Fuzzy Neuron Controller for Curved Search Neural Network Learning (Abstract)

Peitsang Wu, I-Shou University

Shu-Cherng Fang, North Carolina State University at Raleigh

Henry L.W. Nuttle, North Carolina State University at Raleigh

pp. 6535

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A Recursive Algorithm for Fuzzy Min-Max Networks (Abstract)

A. Rizzi, University of Rome ?La Sapienza?

M. Panella, University of Rome ?La Sapienza?

F.M. Frattale Mascioli, University of Rome ?La Sapienza?

G. Martinelli, University of Rome ?La Sapienza?

pp. 6541

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Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron (Abstract)

Nicolino J. Pizzi, National Research Council Canada

pp. 6547

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What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems? (Abstract)

I. Rojas, University of Granada

J.L. Bernier, University of Granada

M. Rodriguez-Alvarez, University of Granada

A. Prieto, University of Granada

pp. 6551

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Session HF9: Evolutionary Computation II

GA-Based Supervised Learning of Neocognitron (Abstract)

Daming Shi, National University of Singapore

Chew Lim Tan, National University of Singapore

pp. 6559

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Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System (Abstract)

Norio Baba, University Asahiga-Oka

Hidetsugu Suto, Kyoto University

pp. 6565

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Supervised Scaled Regression Clustering: An Alternative to Neural Networks (Abstract)

Mark J. Embrechts, Rensselaer Polytechnic Institute

Dirk Devogelaere, University of Leuven

Marcel Rijckaert, University of Leuven

pp. 6571

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Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata (Abstract)

Fulvio Corno, Politecnico di Torino

Matteo Sonza Reorda, Politecnico di Torino

Giovanni Squillero, Politecnico di Torino

pp. 6577

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Session HF10: Evolutionary Computation III

Representative Evolution: A Simple and Efficient Algorithm for Artificial Neural Network Evolution (Abstract)

M. Monirul Islam, Fukui University

Hirotaka Akita, Fukui University

K. Murase, Fukui University

M. Shahjahan, BIT Khulna

pp. 6585

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Evolving Neural Network Structures Using Axonal Growth Mechanisms (Abstract)

P. Eggenberger, ATR Human Information Processing Research Laboratories

pp. 6591

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The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons (Abstract)

Maciej Grzenda, Warsaw University of Technology

Bohdan Macukow, Warsaw University of Technology

pp. 6596

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Adaptive RBF Classifier for Object Recognition in Image Sequences (Abstract)

Peter W. Pachowicz, George Mason University

Sung W. Baik, Datamat Systems Research, Inc.

pp. 6600

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Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain (Abstract)

Hugo de Garis, STARLAB

Michael Korkin, Genobyte, Inc.

Padma Guttikonda, Utah State University

Donald Cooley, Utah State University

pp. 6606

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Session HF11: Evolutionary Computation IV

Classification and Function Approximation Using Feed-Forward Shunting Inhibitory Artificial Neural Networks (Abstract)

Abdesselam Bouzerdoum, Edith Cowan University

pp. 6613

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Fast Learning for Problem Classes Using Knowledge Based Network Initialization (Abstract)

Michael Hüsken, Ruhr-Universit?t Bochum

Christian Goerick, Ruhr-Universit?t Bochum

pp. 6619

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Switching Dynamics of Multi-Agent Systems: Soap Froths Paradigm (Abstract)

W.K.F. Lor, Imperial College of Science, Technology and Medicine

K.Y. Szeto, Hong Kong University of Science and Technology

pp. 6625

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Computational Intelligence in Adaptive Educational Hypermedia (Abstract)

K.A. Papanikolaou, University of Athens

G.D. Magoulas, University of Athens

M. Grigoriadou, University of Athens

pp. 6629

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Session HF12: Robotics IV

Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot (Abstract)

Aude Billard, University of Southern California

Auke Jan Ijspeert, University of Southern California

pp. 6637

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A Leaky-Integrator Neural Network for Controlling the Locomotion of a Simulated Salamander (Abstract)

Auke Jan Ijspeert, University of Southern California

pp. 6642

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Author Index (PDF)

pp. 6649