Artificial Intelligence and Soft Computing ¿ ICAISC 2004

This volume constitutes the proceedings of the 7th Conference on Arti?cial Intelligence and Soft Computing, ICAISC2004, held in Zakopane, Poland, June 7–11, 2004. The conference was organized by the Polish Neural Network Society in cooperation with the Department of Computer Engineering at the Tech- calUniversityofCzesto ¸ chowa, WSHE University in L´ od´ z and IEEE Neural Networks Society. The previous conferences took place in Kule (1994), Szczyrk (1996), Kule (1997) and Zakopane (1999, 2000, 2002) and attracted a large number of papers and internationally recognized speakers: Prof. Lot? A. Zadeh, Prof. RobertMarks,Prof. EnriqueRuspini,Prof. Zdzis lawBubnicki,Prof. Jacek ? Zurada, Prof. Shun-ichi Amari, Prof. Kaoru Hirota, Prof. Ryszard Tadeusiewicz, Prof. Shiro Usui, Prof. W lodzis law Duch, Prof. Erkki Oja, Prof. Syozo Yasui, Prof. Witold Pedrycz, Prof. Janusz Kacprzyk, Prof. Laszlo T. Koczy, Prof. Soo- Young Lee and Prof. Daniel Amit. The aim of this conference is to build a bridge between traditional arti?cial intelligence techniques and recently developed soft computing techniques. It was pointed out by Prof. Lot? A. Zadeh that “Soft Computing (SC) is a coalition of methodologies which are oriented toward the conception and design of information/intelligent systems. The principal m- bers of the coalition are: fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC), and machine learning (ML). The constituent methodologies of SC are, for the most part, complementary and synergisticrather than competitive”. Thisvolumep- sents both traditional arti?cial intelligence methods and soft computing tech- ques presented in 14 parts: 1.

Invited Papers.- Evolutionary Design of Information Systems Architectures.- Clifford Support Vector Machines for Classification.- Uncertain Variables and Systems – New Problems and Results.- Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications.- Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods.- Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networks.- Rough Set Approach to Incomplete Data.- Neural Networks of Positive Systems.- Support of Natural, by Artificial, Intelligence Using Utility as Behavioral Goal.- Top-Down Selective Attention for Robust Perception of Noisy and Confusing Patterns.- On ANN Based Solutions for Real-World Industrial Requirements.- ActiveMath: An Intelligent Tutoring System for Mathematics.- Inference Rules and Decision Rules.- Survival of Intelligent Agents in Changing Environments.- Inducing Robust Decision Rules from Rough Approximations of a Preference Relation.- The New Concept in Computer Vision: Automatic Understanding of the Images.- Neural Networks and Their Applications.- Dynamic High Order Neural Networks: Application for Fault Diagnosis.- Momentum Modification of the RLS Algorithms.- Parallel Realisation of QR Algorithm for Neural Networks Learning.- Rainfall-Runoff Modelling Using Three Neural Network Methods.- Probability Distribution of Solution Time in ANN Training Using Population Learning Algorithm.- Parallelization of the SOM-Based Integrated Mapping.- Training Radial Basis Functions by Gradient Descent.- Generalized Backpropagation through Time for Continuous Time Neural Networks and Discrete Time Measurements.- Experiments on Ensembles of Radial Basis Functions.- Orthodoxy Basis Functions and Convergence Property in Procedure Neural Networks.- Confidence Estimation of GMDH Neural Networks.- On Some Factors Influencing MLP Error Surface.- Discovery of Linguistic Rules by Means of RBF Network for Fault Detection in Electronic Circuits.- Combining Space-Filling Curves and Radial Basis Function Networks.- Chaotic Itinerancy for Patterns Separation.- Dynamic Search Trajectory Methods for Neural Network Training.- Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections.- Optimization of Centers’ Positions for RBF Nets with Generalized Kernels.- Fixed Non–linear Combining Rules versus Adaptive Ones.- Learning and System Modeling via Hamiltonian Neural Networks.- Recurrent Network Structure for Computing Quasi-inverses of the Sierpi?ski Space-Filling Curves.- Fuzzy Systems and Their Applications.- Comparison of Reasoning Methods for Fuzzy Control.- Fuzzy Modelling with a Compromise Fuzzy Reasoning.- A Self Tuning Fuzzy Inference System for Noise Reduction.- Fuzzy-Neural Networks in the Diagnosis of Motor-Car’s Current Supply Circuit.- Fuzzy Number-Based Hierarchical Fuzzy System.- Stock Trend Prediction Using Neurofuzzy Predictors Based on Brain Emotional Learning Algorithm.- Digital Implementation of Fuzzy Petri Net Based on Asynchronous Fuzzy RS Flip-Flop.- Fuzzy Calculator – Useful Tool for Programming with Fuzzy Algebra.- On Defuzzyfication of Ordered Fuzzy Numbers.- Information Criterions Applied to Neuro-Fuzzy Architectures Design.- On Hesitation Degrees in IF-Set Theory.- Fuzzy Cognitive Maps Learning through Swarm Intelligence.- Application of the General Gaussian Membership Function for the Fuzzy Model Parameters Tunning.- Are Linguistic Evaluations Used by People of Possibilistic or Probabilistic Nature?.- Fuzzy Linear Programming in Ship Trajectory Optimization in a Restricted Area.- Application of Fuzzy Weighted Feature Diagrams to Model Variability in Software Families.- Neuro-Fuzzy Relational Classifiers.- What Differs Interval Type-2 FLS from Type-1 FLS?.- A Similarity Measure for Intuitionistic Fuzzy Sets and Its Application in Supporting Medical Diagnostic Reasoning.- Evolutionary Algorithms and Their Applications.- Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments.- Parallel Genetic Algorithm for Minimizing Total Weighted Completion Time.- Adaptive Evolutionary Computation – Application for Mixed Linear Programming.- Adaptive Evolutionary Computation of the Parametric Optimization Problem.- Concentration of Population in Phenotypic Evolution.- An Evolutionary Clustering Algorithm.- An Evolutionary Algorithm for Oblique Decision Tree Induction.- Propagation of Building Blocks in SGA and MPGA.- Selection Pressure and an Efficiency of Neural Network Architecture Evolving.- Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization.- Graph Transformations in Evolutionary Design.- A Genetic Algorithm for Probabilistic SAT Problem.- Design and Optimization of Combinational Digital Circuits Using Modified Evolutionary Algorithm.- Modified Version of Roulette Selection for Evolution Algorithms – The Fan Selection.- New Genetic Crossover Operator for the TSP.- Rough Sets and Their Applications.- Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification.- Inducing Jury’s Preferences in Terms of Acoustic Features of Violin Sounds.- Fuzzy Implication Operators in Variable Precision Fuzzy Rough Sets Model.- Fuzzyfication of Indiscernibility Relation for Structurizing Lists of Synonyms and Stop-Lists for Search Engines.- Rough Sets in the Neuro-Fuzzy Architectures Based on Monotonic Fuzzy Implications.- Rough Sets in the Neuro-Fuzzy Architectures Based on Non-monotonic Fuzzy Implications.- On L–Fuzzy Rough Sets.- Application of Rough Sets Techniques to Induction Machine Broken Bar Detection.- Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery.- Soft Computing in Classification.- Selection of the Linearly Separable Feature Subsets.- Short-Time Signal Analysis Using Pattern Recognition Methods.- Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis.- Modified Kohonen Networks for Complex Cluster-Analysis Problems.- Reducing the Computational Demands for Nearest Centroid Neighborhood Classifiers.- SSV Criterion Based Discretization for Naive Bayes Classifiers.- Comparison of Instance Selection Algorithms II. Results and Comments.- SBL-PM-M: A System for Partial Memory Learning.- Relevance LVQ versus SVM.- Comparison of Instances Seletion Algorithms I. Algorithms Survey.- Towards Grammatical Inferencing of GDPLL(k) Grammars for Applications in Syntactic Pattern Recognition-Based Expert Systems.- Intelligent Layer of Two-Way Voice Communication of the Technological Device with the Operator.- A Neural Network Based Method for Classification of Meteorological Data.- An Empirical Test Suite for Message Authentication Evaluation in Communications Based on Support Vector Machines.- Efficient Digital Fingerprint Production and Evaluation for Secure Communication Systems Based on Genetic Algorithms.- On Chinese Web Page Classification.- A New Fuzzy Clustering Method with Constraints in Time Domain.- Special Cluster Analysis and Basic Feature Estimation with a Modification of Self-Organizing Map.- An Unsupervised Cluster Analysis and Information about the Modelling System.- Cursive-Character Script Recognition Using Toeplitz Model and Neural Networks.- Learning with an Embedded Reject Option.- Image Processing.- Impulsive Noise Suppression from Highly Corrupted Images by Using Resilient Neural Networks.- A New Methodology for Synthetic Aperture Radar (SAR) Raw Data Compression Based on Wavelet Transform and Neural Networks.- Fuzzy Processing Technique for Content-Based Image Retrieval.- Human Ear Identification Based on Image Analysis.- Automatic Change Detection Based on Codelength Differences in Multi-temporal and Multi-spectral Images.- Estimating Face Direction via Facial Triangle.- An Image Compression Algorithm Based on Neural Networks.- Fuzzy Nonparametric Measures for Image Matching.- Neural Computation of the Fundamental Matrix.- Face Detection Using CMAC Neural Network.- A Biologically Inspired Active Stereo Vision System Using a Bottom-Up Saliency Map Model.- Problems Connected with Application of Neural Networks in Automatic Face Recognition.- Czestochowa-Faces and Biometrics of Asymmetrical Face.- Wafer Die Position Detection Using Hierarchical Gray Level Corner Detector.- On Fuzzy Labelled Image Segmentation Based on Perceptual Features.- Generalized Multi-layer Kohonen Network and Its Application to Texture Recognition.- Robotics.- Translation STRIPS Planning in Multi-robot Environment to Linear Programming.- Fuzzy Combiner of Behaviors for Reactive Control of Wheeled Mobile Robot.- Artificial Intelligence of the Decision Unit of a Mobile Robot.- Finding Location Using a Particle Filter and Histogram Matching.- Calculation of Model of the Robot by Neural Network with Robot Joint Distinction.- Multi-robot Coordination Based on Cooperative Game.- Model Based Predictive Robotic Manipulator Control with Sinusoidal Trajectory and Random Disturbances.- Multiagent Systems.- Performance Evaluation of Multiagent Personalized Information System.- A Neural-Based Agent for IP Traffic Scanning and Worm Detection.- Evolutionary Neural Networks in Collective Intelligent Predicting System.- Development of a Personalized Digital Library System Based on the New Mobile Multi Agent Platform.- FOOD: An Agent-Oriented Dataflow Model.- Flock-Based Architecture for Distributed Evolutionary Algorithms.- Quickprop Neural Network Short-Term Forecasting Framework for a Database Intrusion Prediction System.- Various Problems of Artificial Intelligence.- The New Concepts in Parallel Simulated Annealing Method.- Simulated Annealing with Restart to Job Shop Scheduling Problem Using Upper Bounds.- Requirements and Solutions for Web-Based Expert System.- Information Structuring in Natural Language Communication: Syntax versus Semantic.- Strategic Planning through Model Checking of ATL Formulae.- On a Special Class of Dempster-Shafer Theories.- A Computer Based System Supporting Analysis of Cooperative Strategies.- Application of Soft Computing Techniques to Rescue Operation Planning.- Reduction of Tabular Systems.- Temporal Difference Approach to Playing Give-Away Checkers.- Artificial Neural Networks for Solving Double Dummy Bridge Problems.- On Application of Ant Algorithms to Non-bifurcated Multicommodity Flow Problem.- A Parallel Clustering Algorithm for Categorical Data Set.- Intensive versus Non-intensive Actor-Critic Reinforcement Learning Algorithms.- Virtual Modeling and Optimal Design of Intelligent Micro-accelerometers.- Control, Modelling, and System Identification.- Local Pattern-Based Interval Models.- Implementation of Two-Stage Hopfield Model and Its Application in Nonlinear Systems.- Genetic Algorithm Based Fuzzy Sliding Mode with Application to Building Structures.- Influence of the Training Set Selection on the Performance of the Neural Network State Variables Estimators in the Induction Motor.- LMI-Based Design of Optimal Controllers for Takagi-Sugeno Fuzzy Systems.- Design of Multi-objective Evolutionary Technique Based Intelligent Controller for Multivariable Nonlinear Systems.- Design of a Robust Sliding Mode Fuzzy Controller for Nonlinear HVAC Systems.- Global Identification of Complex Systems with Cascade Structure.- Medical Applications.- Diagnosis of Melanoma Using IRIM, a Data Mining System.- Detection of Spiculated Masses in Mammograms Based on Fuzzy Image Processing.- Artificial Neural Networks in Identifying Areas with Homogeneous Survival Time.- Multistage Diagnosis of Myocardial Infraction Using a Fuzzy Relation.- Application of SVM to Ovarian Cancer Classification Problem.- ROC Analysis for Fetal Hypoxia Problem by Artificial Neural Networks.- The Challenge of Soft Computing Techniques for Tumor Characterization.- A Multi-stage Classification Method in Application to Diagnosis of Larynx Cancer.- Multi-neural Network Approach for Classification of Brainstem Evoked Response Auditory.- The Study of Hierarchy Importance of Descriptive Attributes in Computer Assisted Classification of Melanocytic Skin Lesions.- Medical Knowledge Representation in Terms of IF-THEN Rules and the Dempster-Shafer Theory.- Online Neural Network Training for Automatic Ischemia Episode Detection.- Mechanical Applications.- Sequential and Distributed Evolutionary Computations in Structural Optimization.- Neural Analysis of Concrete Fatigue Durability by the Neuro-Fuzzy FWNN.- Neural and Finite Element Analysis of a Plane Steel Frame Reliability by the Classical Monte Carlo Method.- The Solution of an Inverse Problem in Plates by Means of Artificial Neural Networks.- Filtering of Thermomagnetic Data Curve Using Artificial Neural Network and Wavelet Analysis.- Various Applications.- Evolutionary Negotiation Strategies in Emerging Electricity Markets.- Evolutionary Algorithm for Scheduling of CHP Plant with Urban Heat Distribution Network.- Semi-mechanistic Models for State-Estimation – Soft Sensor for Polymer Melt Index Prediction.- Neural Approach to Time-Frequency Signal Decomposition.- ANN Based Modelling and Correction in Dynamic Temperature Measurements.- One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets.- Application of Neural Network Topologies in the Intelligent Heat Use Prediction System.- Genetic Algorithm for Database Indexing.- Application of Neural Networks and Two Representations of Color Components for Recognition of Wheat Grains Infected by Fusarium Culmorum Fungi.- Hybrid Neural Model of the Sea Bottom Surface.- Fuzzy Economic Analysis of Simulated Discrete Transport System.- A Survey on US Economic Sanction Effects on Iranian High Tech Industries: Fuzzy Logic Approach.- Modeling of Optoelectronic Devices through Neuro-Fuzzy Architectures.- Neural Network Based Simulation of the Sieve Plate Absorption Column in Nitric Acid Industry.- Artificial Neural Networks for Comparative Navigation.- Predicting Women’s Apparel Sales by Soft Computing.- Model Improvement by the Statistical Decomposition.