Computational intelligence : a compendium
著者
書誌事項
Computational intelligence : a compendium
（Studies in computational intelligence, Vol. 115）
Springer, c2005
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注記
includes bibliographic references and index
内容説明・目次
内容説明
Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions from leading experts in Computational Intelligence. The main focus of the compendium is on applied methods, tried-and-proven as being effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. This state-of- handbook-style book has contributions by leading experts.
目次
Overview, Background.- Computational Intelligence: An Introduction.- Preprocessing, Visualization, Systems Integration.- Data Reduction for Pattern Recognition and Data Analysis.- Topographic Maps for Clustering and Data Visualization.- Complex Systems Paradigms for Integrating Intelligent Systems: A Game Theoretic Approach.- Artificial Intelligence.- Emotional Intelligence: Giving Computers Effective Emotional Skills to Aid Interaction.- Logic and Reasoning.- The Paraconsistent Annotated Logic Program EVALPSN and its Application.- The Data-Oriented Parsing Approach: Theory and Application.- Ontology.- Graph-Based Representation and Reasoning for Ontologies.- An Ontology-Based Intelligent Mobile System for Tourist Guidance.- Intelligent Agents.- Open Source Agent-Based Modeling Frameworks.- Agent-Based Grid Computing.- Decentralized Multi-Agent Clustering in Scale-free Sensor Networks.- Computational Intelligence in Agent-Based Computational Economics.- Fuzzy Systems.- Semantics and Perception of Fuzzy Sets and Fuzzy Mappings.- Evolutionary Multiobjective Design of Fuzzy Rule-Based Classifiers.- Artificial Neural Networks.- Data Mining in QoS-Aware Media Grids.- The Self-Organizing Maps: Background, Theories, Extensions and Applications.- Neural Systems Engineering.- Artificial Brains: An Evolved Neural Net Module Approach.- Evolutionary Approaches.- Evolving Artificial Neural Network Ensembles.- An Order Based Memetic Evolutionary Algorithm for Set Partitioning Problems.- Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications.- The Particle Swarm Algorithm.- DNA and Immunity-Based Computing.- DNA Computing and its Application.- The Next Generation of Immunity-Based Systems: From Specific Recognition to Computational Intelligence.
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