Artificial Neural Networks: Formal Models and Their Applications - Icann 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, P (Paperback, 2005)

New Neural Network Models.- Neuro-fuzzy Kolmogorov’s Network.- A Neural Network Model for Inter-problem Adaptive Online Time Allocation.- Discriminant Parallel Perceptrons.- A Way to Aggregate Multilayer Neural Networks.- Generalized Net Models of MLNN Learning Algorithms.- Monotonic Multi-layer Perceptron Networks as Universal Approximators.- Short Term Memories and Forcing the Re-use of Knowledge for Generalization.- Interpolation Mechanism of Functional Networks.- Supervised Learning Algorithms.- Neural Network Topology Optimization.- Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks.- Support Vector Neural Training.- Evolutionary Algorithms for Real-Time Artificial Neural Network Training.- Developing Measurement Selection Strategy for Neural Network Models.- Nonlinear Regression with Piecewise Affine Models Based on RBFN.- Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria.- Multiresponse Sparse Regression with Application to Multidimensional Scaling.- Training Neural Networks Using Taguchi Methods: Overcoming Interaction Problems.- A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction.- Ensemble-Based Learning.- Learning with Ensemble of Linear Perceptrons.- Combination Methods for Ensembles of RBFs.- Ensemble Techniques for Credibility Estimation of GAME Models.- Combination Methods for Ensembles of MF.- New Results on Ensembles of Multilayer Feedforward.- Unsupervised Learning.- On Variations of Power Iteration.- Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor.- On Spectral Basis Selection for Single Channel Polyphonic Music Separation.- Independent Subspace Analysis Using k-Nearest Neighborhood Distances.- Recurrent Neural Networks.- Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks.- Time Delay Learning by Gradient Descent in Recurrent Neural Networks.- Representation and Identification Method of Finite State Automata by Recurrent High-Order Neural Networks.- Global Stability Conditions of Locally Recurrent Neural Networks.- Reinforcement Learning.- An Agent-Based PLA for the Cascade Correlation Learning Architecture.- Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning Tasks.- Stochastic Processes for Return Maximization in Reinforcement Learning.- Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning.- Completely Self-referential Optimal Reinforcement Learners.- Model Selection Under Covariate Shift.- Bayesian Approaches to Learning.- Smooth Performance Landscapes of the Variational Bayesian Approach.- Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering.- Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities.- A New Method of Learning Bayesian Networks Structures from Incomplete Data.- Bayesian Hierarchical Ordinal Regression.- Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.- Learning Theory.- Manifold Constrained Variational Mixtures.- Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis.- Separable Data Aggregation in Hierarchical Networks of Formal Neurons.- Induced Weights Artificial Neural Network.- SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.- On the Explicit Use of Example Weights in the Construction of Classifiers.- A First Approach to Solve Classification Problems Based on Functional Networks.- A Description of a Simulation Environment and Neural Architecture for A-Life.- Neural Network Classifers in Arrears Management.- Sequential Classification of Probabilistic Independent Feature Vectors Based on Multilayer Perceptron.- Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers.- Evaluating Performance of Random Subspace Classifier on ELENA Classification Database.- Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control.- A New RBF Neural Network Based Non-linear Self-tuning Pole-Zero Placement Controller.- Using the Levenberg-Marquardt for On-line Training of a Variant System.- Optimal Control Yields Power Law Behavior.- A NeuroFuzzy Controller for 3D Virtual Centered Navigation in Medical Images of Tubular Structures.- Emulating Process Simulators with Learning Systems.- Evolving Modular Fast-Weight Networks for Control.- Topological Derivative and Training Neural Networks for Inverse Problems.- Application of Domain Neural Network to Optimization Tasks.- Eigenvalue Problem Approach to Discrete Minimization.- A Neurocomputational Approach to Decision Making and Aging.- Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix.- Causal Neural Control of a Latching Ocean Wave Point Absorber.- An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process.- A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control.- Improved, Simpler Neural Controllers for Lamprey Swimming.- Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network.- Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling.- Identification of Frequency-Domain Volterra Model Using Neural Networks.- Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural Network.- Special Session: Knowledge Extraction from Neural Networks Organizer and Chair: D. A. Elizondo.- Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models.- Current Trends on Knowledge Extraction and Neural Networks.- Prediction of Yeast Protein?Protein Interactions by Neural Feature Association Rule.- A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries.- CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study.- Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques.- Information Visualization for Knowledge Extraction in Neural Networks.- Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical Data.- Temporal Data Analysis, Prediction and Forecasting.- Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data.- Counterpropagation with Delays with Applications in Time Series Prediction.- Bispectrum-Based Statistical Tests for VAD.- Back-Propagation as Reinforcement in Prediction Tasks.- Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction.- Some Issues About the Generalization of Neural Networks for Time Series Prediction.- Multi-step-ahead Prediction Based on B-Spline Interpolation and Adaptive Time-Delay Neural Network.- Support Vector Machines and Kernel-Based Methods.- Training of Support Vector Machines with Mahalanobis Kernels.- Smooth Bayesian Kernel Machines.- A New Kernel-Based Algorithm for Online Clustering.- The LCCP for Optimizing Kernel Parameters for SVM.- The GCS Kernel for SVM-Based Image Recognition.- Informational Energy Kernel for LVQ.- Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.- A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines.- A Hierarchical Support Vector Machine Based Solution for Off-line Inverse Modeling in Intelligent Robotics Applications.- LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator.- Building Smooth Neighbourhood Kernels via Functional Data Analysis.- Recognition of Heartbeats Using Support Vector Machine Networks ? A Comparative Study.- Componentwise Support Vector Machines for Structure Detection.- Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning.- Soft Computing Methods for Data Representation, Analysis and Processing.- Incremental Rule Pruning for Fuzzy ARTMAP Neural Network.- An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem.- A Neural Network for Text Representation.- A Fuzzy Approach to Some Set Approximation Operations.- Connectionist Modeling of Linguistic Quantifiers.- Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced Datasets.- An Iterative Artificial Neural Network for High Dimensional Data Analysis.- Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms.- Special Session: Data Fusion for Industrial, Medical and Environmental Applications Organizers and Chairs: D. Mandic, D. Obradovic.- Localization of Abnormal EEG Sources Incorporating Constrained BSS.- Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach.- Data Fusion for Modern Engineering Applications: An Overview.- Modified Cost Functions for Modelling Air Quality Time Series by Using Neural Networks.- Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information.- Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?.- Communicative Interactivity ? A Multimodal Communicative Situation Classification Approach.- Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting.- Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection.- Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations.- A Fast and Efficient Method for Compressing fMRI Data Sets.- Special Session: Non-linear Predictive Models for Speech Processing Organizers and Chairs: M. Chetouani, M. Faundez-Zanuy, B. Gas, A. Hussain.- Non-linear Predictive Models for Speech Processing.- Predictive Speech Coding Improvements Based on Speaker Recognition Strategies.- Predictive Kohonen Map for Speech Features Extraction.- Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition.- Improvement in Language Detection by Neural Discrimination in Comparison with Predictive Models.- Special Session: Intelligent Multimedia and Semantics Organizers and Chairs: Y. Avrithis, S. Kollias.- Learning Ontology Alignments Using Recursive Neural Networks.- Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited.- Automated Extraction of Object- and Event-Metadata from Gesture Video Using a Bayesian Network.- f-SWRL: A Fuzzy Extension of SWRL.- An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval.- Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps.- Fusing MPEG-7 Visual Descriptors for Image Classification.- Applications to Natural Language Proceesing.- The Method of Inflection Errors Correction in Texts Composed in Polish Language ? A Concept.- Coexistence of Fuzzy and Crisp Concepts in Document Maps.- Information Retrieval Based on a Neural-Network System with Multi-stable Neurons.- Neural Coding Model of Associative Ontology with Up/Down State and Morphoelectrotonic Transform.- Various Applications.- Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks.- A New Probabilistic Neural Network for Fault Detection in MEMS.- Analog Fault Detection Using a Neuro Fuzzy Pattern Recognition Method.- Support Vector Machine for Recognition of Bio-products in Gasoline.- Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition.- Using Multilayer Perceptrons to Align High Range Resolution Radar Signals.- Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks.- Completing Hedge Fund Missing Net Asset Values Using Kohonen Maps and Constrained Randomization.- Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance Maps.- New Neural Network Based Mobile Location Estimation in a Metropolitan Area.- Lagrange Neural Network for Solving CSP Which Includes Linear Inequality Constraints.- Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction.- Research on Electrotactile Representation Technology Based on Spatiotemporal Dual-Channel.- Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data.- Solving Satisfiability Problem by Parallel Execution of Neural Networks with Biases.- Special Session: Computational Intelligence in Games Organizer and Chair: J. Ma´ndziuk.- Local vs Global Models in Pong.- Evolution of Heuristics for Give-Away Checkers.- Nonlinear Relational Markov Networks with an Application to the Game of Go.- Flexible Decision Process for Astronauts in Marsbase Simulator.- Issues in Hardware Implementation.- Tolerance of Radial Basis Functions Against Stuck-At-Faults.- The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation.- Systolic Realization of Kohonen Neural Network.- A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor.- Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth Cones.- Erratum.- Erratum.