Hybrid Information Systems

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Overview

Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid ...

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Paperback (2002)
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Overview

Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.

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Table of Contents

Neural Networks and Applications.- A Full Explanation Facility for a MLP Network that Classifies Low-Back-Pain Patients and for Predicting its Reliability.- Use of Multi-category Proximal SVM for Data Set Reduction.- Neural Techniques in Logo Recognition.- Motion Detection Using Cellular Neural Network.- Speech Separation Based on Higher Order Statistics Using Recurrent Neural Networks.- Speaker Recognition Using Radial Basis Function Neural Networks.- A Multifaceted Investigation into Speech Reading.- Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach.- AppART: An ART Hybrid Stable Learning Neural Network for Universal Function Approximation.- Monitoring System Security Using Neural Networks and Support Vector Machines.- A Hybrid Detection and Classification System for Human Motion Analysis.- Integrated Technique with Neurocomputing for Temporal Video Segmentation.- Matching Data Mining Algorithm Suitability to Data Characteristics Using a Self-Organizing Map.- Perceptual Grouping of Contours via Gated Diffusion of Boundary Signals.- Fuzzy Logic and Applications.- Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehicle Operations.- Soft Computing for Developing Short Term Load Forecasting Models in Czech Republic.- An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative.- Adaptive Database Learning in Decision Support Systems Using Evolutionary Fuzzy Systems: A Generic Framework.- Histogram-Based Fuzzy Clustering and its Comparison to Fuzzy C-Means Clustering in One-Dimensional Data.- Optimizing Linear Programming Technique Using Fuzzy Logic.- Semantics for Fuzzy Disjunctive Programs with Weak Similarity.- An Integration of Fuzzy and Two-Valued Logics on Natural Language Semantics.- Fuzzy Hyperplanes in the Hypothesis Space.- Evolutionary Computation and Other Heuristics.- A Genetic Algorithm for Optimizing Throughput in Non-broadcast WDM Optical Networks.- Solving Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programming.- Integrated Evolutionary Algorithms.- Evolving Natural Language Parser with Genetic Programming.- A Linear Genetic Programming Approach for Modeling Electricity Demand Prediction in Victoria.- Flexible Generator Maintenance Scheduling in a Practical System Using Fuzzy Logic and Genetic Algorithm.- Information Space Optimization with Real-Coded Genetic Algorithm for Inductive Learning.- A Comparison of GRASP and an Exact Method for Solving a Production and Delivery Scheduling Problem.- Intelligent Agents and Applications.- MEBRL: Memory Evolution Based Reinforcement Learning Algorithm of MAS.- Agent Representation and Communication in CBR-Tutor.- Agent-based Software Engineering and Agent Mediations.- Virtual AI Classroom: A Proposal.- An Argumentation-Based Multi-Agent System for eTourism Dialogue.- Modeling a Distributed Knowledge Management for Cooperative Agents.- Bayesian Methods / Rough Sets and Applications.- Linear Discriminant Text Classification in High Dimension.- A Bayesian Track-before-Detect Algorithm for IR Point Target Detection.- Application of Bayesian Controllers to Dynamic Systems.- An Algorithm for Automatic Generation of a Case Base from a Database Using Similarity-Based Rough Approximation.- A Family of Algorithms for Implementing the Main Concepts of the Rough Set Theory.- Intelligent Data Mining and Information Analysis.- Value of Information Analysis in Dynamic Influence Diagrams.- An Automated Report Generation Tool for the Data Understanding Phase.- Determining the Validity of Clustering for Data Fusion.- The Performance of Small Support Spatial and Temporal Filters for Dim Point Target Detection in Infrared Image Sequences.- Using Petri Nets for Modeling Branch Control of Pipeline Processors.- Extended Vector Annotated Logic Program and its Applications to Robot Action Control and Automated Safety Verification.- Hybrid Intelligent Systems Applications: Reviews and Frameworks.- Overview of Markov Chain Monte Carlo for Statistical Inference and its Application.- Insurance Applications of Soft Computing Technologies.- Teaming Human and Machine: A Conceptual Framework.- Dynamics and Thinking of Social Systems.- Author Index.

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  • Anonymous

    Posted July 28, 2003

    This book rocks

    This book was a great -- realy helped me to know something about 'hybrid' intelligent systems. Most of the chapters were excellent.

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