Artificial Intelligence and Soft Computing – ICAISC 2008: 9th International Conference Zakopane, Poland, June 22-26, 2008, Proceedings

This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.

Table of Contents:
Neural Networks and Their Applications.- Input Signals Normalization in Kohonen Neural Networks.- Parallel Realisation of the Recurrent RTRN Neural Network Learning.- Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systems.- The Influence of Training Data Availability Time on Effectiveness of ANN Adaptation Process.- WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks.- Municipal Creditworthiness Modelling by Kohonen’s Self-organizing Feature Maps and LVQ Neural Networks.- Fast and Robust Way of Learning the Fourier Series Neural Networks on the Basis of Multidimensional Discrete Fourier Transform.- Accuracy Improvement of Neural Network State Variable Estimator in Induction Motor Drive.- Ensemble of Dipolar Neural Networks in Application to Survival Data.- Binary Optimization: On the Probability of a Local Minimum Detection in Random Search.- Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Rates.- Efficient Predictive Control Integrated with Economic Optimisation Based on Neural Models.- Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks.- Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification.- Improving the Efficiency of Counting Defects by Learning RBF Nets with MAD Loss.- Robust MCD-Based Backpropagation Learning Algorithm.- Some Issues on Intrusion Detection in Web Applications.- Neural Network Device for Reliability and Functional Analysis of Discrete Transport System.- Maximum of Marginal Likelihood Criterion instead of Cross-Validation for Designing of Artificial Neural Networks.- Fuzzy Systems and Their Applications.- Type-2 Fuzzy Decision Trees.- An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems.- Real-Time Road Signs Tracking with the Fuzzy Continuously Adaptive Mean Shift Algorithm.- A New Method for Decision Making in the Intuitionistic Fuzzy Setting.- Linguistic Summarization of Time Series Using Fuzzy Logic with Linguistic Quantifiers: A Truth and Specificity Based Approach.- TS Fuzzy Rule-Based Systems with Polynomial Membership Functions.- From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier.- Efficient Fuzzy Predictive Economic Set–Point Optimizer.- Imprecision Measures for Type-2 Fuzzy Sets: Applications to Linguistic Summarization of Databases.- Assessing the Non-technical Service Aspects by Using Fuzzy Methods.- Adaptation of Rules in the Fuzzy Control System Using the Arithmetic of Ordered Fuzzy Numbers.- Regression Modeling with Fuzzy Relations.- A New Approach to Creating Multisegment Fuzzy Systems.- On Defuzzification of Interval Type-2 Fuzzy Sets.- Combining Basic Probability Assignments for Fuzzy Focal Elements.- Using Intuitionistic Fuzzy Sets in Text Categorization.- Evolutionary Algorithms and Their Applications.- Improving Evolutionary Algorithms with Scouting: High–Dimensional Problems.- Memetic Algorithm Based on a Constraint Satisfaction Technique for VRPTW.- Agent-Based Co-Operative Co-Evolutionary Algorithm for Multi-Objective Optimization.- Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm.- Evolutionary Methods to Create Interpretable Modular System.- Fractal Dimension of Trajectory as Invariant of Genetic Algorithms.- Global Induction of Decision Trees: From Parallel Implementation to Distributed Evolution.- Particle Swarm Optimization with Variable Population Size.- Genetic Algorithm as a Tool for Stock Market Modelling.- Robustness of Isotropic Stable Mutations in a General Search Space.- Ant Colony Optimization: A Leading Algorithm in Future Optimization of Petroleum Engineering Processes.- Design and Multi-Objective Optimization of Combinational Digital Circuits Using Evolutionary Algorithm with Multi-Layer Chromosomes.- On Convergence of a Simple Genetic Algorithm.- Tuning Quantum Multi-Swarm Optimization for Dynamic Tasks.- Classification, Rule Discovery and Clustering.- Ensembling Classifiers Using Unsupervised Learning.- A Framework for Adaptive and Integrated Classification.- Solving Regression by Learning an Ensemble of Decision Rules.- Meta-learning with Machine Generators and Complexity Controlled Exploration.- Assessing the Quality of Rules with a New Monotonic Interestingness Measure Z.- A Comparison of Methods for Learning of Highly Non-separable Problems.- Towards Heterogeneous Similarity Function Learning for the k-Nearest Neighbors Classification.- Hough Transform in Music Tunes Recognition Systems.- Maximal Margin Estimation with Perceptron-Like Algorithm.- Classes of Kernels for Hit Definition in Compound Screening.- The GA-Based Bayes-Optimal Feature Extraction Procedure Applied to the Supervised Pattern Recognition.- Hierarchical SVM Classification for Localization in Multilevel Sensor Networks.- Comparison of Shannon, Renyi and Tsallis Entropy Used in Decision Trees.- Information Theory Inspired Weighted Immune Classification Algorithm.- Bayes’ Rule, Principle of Indifference, and Safe Distribution.- MAD Loss in Pattern Recognition and RBF Learning.- Parallel Ant Miner 2.- Object-Oriented Software Systems Restructuring through Clustering.- Data Clustering with Semi-binary Nonnegative Matrix Factorization.- An Efficient Association Rule Mining Algorithm for Classification.- Comparison of Feature Reduction Methods in the Text Recognition Task.- Image Analysis, Speech and Robotics.- Robot Simulation of Sensory Integration Dysfunction in Autism with Dynamic Neural Fields Model.- A Novel Approach to Image Reconstruction Problem from Fan-Beam Projections Using Recurrent Neural Network.- Segmentation of Ultrasound Imaging by Fuzzy Fusion: Application to Venous Thrombosis.- Optical Flow Based Velocity Field Control.- Detection of Phoneme Boundaries Using Spiking Neurons.- Geometric Structure Filtering Using Coupled Diffusion Process and CNN-Based Approach.- MARCoPlan: MultiAgent Remote Control for Robot Motion Planning.- A Hybrid Method of User Identification with Use Independent Speech and Facial Asymmetry.- Multilayer Perceptrons for Bio-inspired Friction Estimation.- Color Image Watermarking and Self-recovery Based on Independent Component Analysis.- A Fuzzy Rule-Based System with Ontology for Summarization of Multi-camera Event Sequences.- A New Approach to Interactive Visual Search with RBF Networks Based on Preference Modelling.- An Adaptive Fast Transform Based Image Compression.- Emotion Recognition with Poincare Mapping of Voiced-Speech Segments of Utterances.- Effectiveness of Simultaneous Behavior by Interactive Robot.- Bioinformatics and Medical Applications.- Quality-Driven Continuous Adaptiation of ECG Interpretation in a Distributed Surveillance System.- Detection of Eyes Position Based on Electrooculography Signal Analysis.- An NLP-Based 3D Scene Generation System for Children with Autism or Mental Retardation.- On Using Energy Signatures in Protein Structure Similarity Searching.- SYMBIOS: A Semantic Pervasive Services Platform for Biomedical Information Integration.- The PCR Primer Design as a Metaheuristic Search Process.- On Differential Stroke Diagnosis by Neuro-fuzzy Structures.- Novel Quantitative Method for Spleen’s Morphometry in Splenomegally.- Various Problems of Artificial Intelligence.- Parallel Single-Thread Strategies in Scheduling.- Artificial Immune System for Short-Term Electric Load Forecasting.- Ant Focused Crawling Algorithm.- Towards Refinement of Clinical Evidence Using General Logics.- An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ’s Performance.- Heuristic Algorithms for Solving Uncertain Routing-Scheduling Problem.- Life Story Generation Using Mobile Context and Petri Net.- On the Minima of Bethe Free Energy in Gaussian Distributions.- An Application of Causality for Representing and Providing Formal Explanations about the Behavior of the Threshold Accepting Algorithm.- A Method for Evaluation of Compromise in Multiple Criteria Problems.- Neural Networks as Prediction Models for Water Intake in Water Supply System.- Financial Prediction with Neuro-fuzzy Systems.- Selected Cognitive Categorization Systems.- Predictive Control for Artificial Intelligence in Computer Games.- Building a Model for Time Reduction of Steel Scrap Meltdown in the Electric Arc Furnace (EAF): General Strategy with a Comparison of Feature Selection Methods.- Epoch-Incremental Queue-Dyna Algorithm.- Agent Systems.- Utilizing Open Travel Alliance-Based Ontology of Golf in an Agent-Based Travel Support System.- Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling.- Autonomous Parsing of Behavior in a Multi-agent Setting.- On Resource Profiling and Matching in an Agent-Based Virtual Organization.- Knowledge Technologies-Based Multi-Agent System for Semantic Web Services Environments.- Distributed Graphs Transformed by Multiagent System.- Multi-agent Logics with Interacting Agents Based on Linear Temporal Logic: Deciding Algorithms.- On Multi Agent Coordination in the Presence of Incomplete Information.