This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during September 11-13 and accompanying workshops on perception, cognition and interaction held on September 14, 2006. The ICANN conference is organized annually by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in these fields. In 2006 the ICANN Conference was organized by the Intelligent Systems Laboratory and the Image, Video and Multimedia Systems Laboratory of the National Technical University of Athens in Athens, Greece. From 475 papers submitted to the conference, the International Program Committee selected, following a thorough peer-review process, 208 papers for publication and presentation to 21 regular and 10 special sessions. The quality of the papers received was in general very high; as a consequence, it was not possible to accept and include in the conference program many papers of good quality.
Author(s): Nojun Kwak, Chunghoon Kim (auth.), Stefanos D. Kollias, Andreas Stafylopatis, Włodzisław Duch, Erkki Oja (eds.)
Series: Lecture Notes in Computer Science 4131 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2006
Language: English
Pages: 1008
Tags: Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Pattern Recognition; Information Systems Applications (incl.Internet); Database Management; Neurosciences
Front Matter....Pages -
Dimensionality Reduction Based on ICA for Regression Problems....Pages 1-10
A Functional Approach to Variable Selection in Spectrometric Problems....Pages 11-20
The Bayes-Optimal Feature Extraction Procedure for Pattern Recognition Using Genetic Algorithm....Pages 21-30
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis....Pages 31-40
Effective Input Variable Selection for Function Approximation....Pages 41-50
Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network....Pages 51-60
On-Line Learning with Structural Adaptation in a Network of Spiking Neurons for Visual Pattern Recognition....Pages 61-70
Learning Long Term Dependencies with Recurrent Neural Networks....Pages 71-80
Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition....Pages 81-92
Time Window Width Influence on Dynamic BPTT(h) Learning Algorithm Performances: Experimental Study....Pages 93-102
Framework for the Interactive Learning of Artificial Neural Networks....Pages 103-112
Analytic Equivalence of Bayes a Posteriori Distributions....Pages 113-121
Neural Network Architecture Selection: Size Depends on Function Complexity....Pages 122-129
Competitive Repetition-suppression (CoRe) Learning....Pages 130-139
Real-Time Construction of Neural Networks....Pages 140-149
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation....Pages 150-158
A Variational Formulation for the Multilayer Perceptron....Pages 159-168
Natural Conjugate Gradient Training of Multilayer Perceptrons....Pages 169-177
Building Ensembles of Neural Networks with Class-Switching....Pages 178-187
K-Separability....Pages 188-197
Lazy Training of Radial Basis Neural Networks....Pages 198-207
Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant....Pages 208-215
Alternatives to Parameter Selection for Kernel Methods....Pages 216-225
Faster Learning with Overlapping Neural Assemblies....Pages 226-233
Improved Storage Capacity of Hebbian Learning Attractor Neural Network with Bump Formations....Pages 234-243
Error Entropy Minimization for LSTM Training....Pages 244-253
Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn + + Under Different Combination Rules....Pages 254-263
Ensemble Learning with Local Diversity....Pages 264-273
A Machine Learning Approach to Define Weights for Linear Combination of Forecasts....Pages 274-283
A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers....Pages 284-292
Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition....Pages 293-302
Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks....Pages 303-312
Random Neural Networks for the Adaptive Control of Packet Networks....Pages 313-320
Hardware Implementation of Random Neural Networks with Reinforcement Learning....Pages 321-329
G-Networks and the Modeling of Adversarial Agents....Pages 330-339
Development of a Neural Net-Based, Personalized Secure Communication Link....Pages 340-348
Exact Solutions for Recursive Principal Components Analysis of Sequences and Trees....Pages 349-356
Active Learning with the Probabilistic RBF Classifier....Pages 357-366
Merging Echo State and Feedforward Neural Networks for Time Series Forecasting....Pages 367-375
Language and Cognition Integration Through Modeling Field Theory: Category Formation for Symbol Grounding....Pages 376-385
A Methodology for Estimating the Product Life Cycle Cost Using a Hybrid GA and ANN Model....Pages 386-395
Using Self-Organizing Maps to Support Video Navigation....Pages 396-405
Self-Organizing Neural Networks for Signal Recognition....Pages 406-414
An Unsupervised Learning Rule for Class Discrimination in a Recurrent Neural Network....Pages 415-424
On the Variants of the Self-Organizing Map That Are Based on Order Statistics....Pages 425-434
On the Basis Updating Rule of Adaptive-Subspace Self-Organizing Map (ASSOM)....Pages 435-444
Composite Algorithm for Adaptive Mesh Construction Based on Self-Organizing Maps....Pages 445-454
A Parameter in the Learning Rule of SOM That Incorporates Activation Frequency....Pages 455-463
Nonlinear Projection Using Geodesic Distances and the Neural Gas Network....Pages 464-473
Contextual Learning in the Neurosolver....Pages 474-484
A Computational Model for the Effect of Dopamine on Action Selection During Stroop Test....Pages 485-494
A Neural Network Model of Metaphor Understanding with Dynamic Interaction Based on a Statistical Language Analysis....Pages 495-504
Strong Systematicity in Sentence Processing by an Echo State Network....Pages 505-514
Modeling Working Memory and Decision Making Using Generic Neural Microcircuits....Pages 515-524
A Virtual Machine for Neural Computers....Pages 525-534
Machine Cognition and the EC Cognitive Systems Projects: Now and in the Future....Pages 535-542
A Complex Neural Network Model for Memory Functioning in Psychopathology....Pages 543-552
Modelling Working Memory Through Attentional Mechanisms....Pages 553-562
A Cognitive Model of Multi-objective Multi-concept Formation....Pages 563-572
A Basis for Cognitive Machines....Pages 573-582
Neural Model of Dopaminergic Control of Arm Movements in Parkinson’s Disease Bradykinesia....Pages 583-591
Occlusion, Attention and Object Representations....Pages 592-601
A Forward / Inverse Motor Controller for Cognitive Robotics....Pages 602-611
A Computational Model for Multiple Goals....Pages 612-622
Detection of a Dynamical System Attractor from Spike Train Analysis....Pages 623-631
Recurrent Neural Networks Are Universal Approximators....Pages 632-640
A Discrete Adaptive Stochastic Neural Model for Constrained Optimization....Pages 641-650
Quantum Perceptron Network....Pages 651-657
Critical Echo State Networks....Pages 658-667
Rapid Correspondence Finding in Networks of Cortical Columns....Pages 668-677
Adaptive Thresholds for Layered Neural Networks with Synaptic Noise....Pages 678-687
Backbone Structure of Hairy Memory....Pages 688-697
Dynamics of Citation Networks....Pages 698-709
Processing of Information in Synchroneously Firing Chains in Networks of Neurons....Pages 710-717
Phase Precession and Recession with STDP and Anti-STDP....Pages 718-727
Visual Pathways for Detection of Landmark Points....Pages 728-739
A Model of Grid Cells Based on a Path Integration Mechanism....Pages 740-749
Temporal Processing in a Spiking Model of the Visual System....Pages 750-759
Accelerating Event Based Simulation for Multi-synapse Spiking Neural Networks....Pages 760-769
A Neurocomputational Model of an Imitation Deficit Following Brain Lesion....Pages 770-779
Temporal Data Encoding and SequenceLearning with Spiking Neural Networks....Pages 780-789
Optimal Tuning of Continual Online Exploration in Reinforcement Learning....Pages 790-800
Vague Neural Network Controller and Its Applications....Pages 801-810
Parallel Distributed Profit Sharing for PC Cluster....Pages 811-819
Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments....Pages 820-829
Reinforcement Learning with Echo State Networks....Pages 830-839
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning....Pages 840-849
Nearly Optimal Exploration-Exploitation Decision Thresholds....Pages 850-859
Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems....Pages 860-867
Online Stabilization of Chaotic Maps Via Support Vector Machines Based Generalized Predictive Control....Pages 868-877
Morphological Neural Networks and Vision Based Mobile Robot Navigation....Pages 878-887
Position Control Based on Static Neural Networks of Anthropomorphic Robotic Fingers....Pages 888-897
Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts....Pages 898-907
A Study on Optimal Configuration for the Mobile Manipulator: Using Weight Value and Mobility....Pages 908-917
VSC Perspective for Neurocontroller Tuning....Pages 918-927
A Neural Network Module with Pretuning for Search and Reproduction of Input-Output Mapping....Pages 928-935
Physical Mapping of Spiking Neural Networks Models on a Bio-inspired Scalable Architecture....Pages 936-943
A Time Multiplexing Architecture for Inter-neuron Communications....Pages 944-952
Neuronal Cell Death and Synaptic Pruning Driven by Spike-Timing Dependent Plasticity....Pages 953-962
Effects of Analog-VLSI Hardware on the Performance of the LMS Algorithm....Pages 963-973
A Portable Electronic Nose (E-Nose) System Based on PDA....Pages 974-982
Optimal Synthesis of Boolean Functions by Threshold Functions....Pages 983-992
Pareto-optimal Noise and Approximation Properties of RBF Networks....Pages 993-1002
Back Matter....Pages -
