Innovations in Intelligent Systems / Edition 1

Innovations in Intelligent Systems / Edition 1

by Ajith Abraham
     
 

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining,

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Overview

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

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Product Details

ISBN-13:
9783540202653
Publisher:
Springer Berlin Heidelberg
Publication date:
02/15/2004
Series:
Studies in Fuzziness and Soft Computing Series, #140
Edition description:
2004
Pages:
468
Product dimensions:
6.30(w) x 9.50(h) x 1.40(d)

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Table of Contents

Ch. 1Use of multi-category proximal SVM for data set reduction3
Ch. 2Bayesian control of dynamic systems21
Ch. 3AppART: a hybrid neural network based on adaptive resonance theory for universal function approximation51
Ch. 4An algorithmic approach to the main concepts of rough set theory89
Ch. 5Automated case selection from databases using similarity-based rough approximation111
Ch. 6An induction algorithm with selection significance based on a fuzzy derivative131
Ch. 7Model and fixpoint semantics for fuzzy disjunctive programs with weak similarity151
Ch. 8An automated report generation tool for the data understanding phase203
Ch. 9Finding trigonometric identities with tree adjunct grammar guided genetic programming221
Ch. 10Modeling a distributed knowledge management for autonomous cooperative agents with knowledge migration237
Ch. 11Intelligent information systems based on paraconsistent logic programs257
Ch. 12Neuro-fuzzy paradigms for intelligent energy management285
Ch. 13Information space optimization for inductive learning315
Ch. 14Detecting, tracking, and classifying human movement using active contour models and neural networks343
Ch. 15Fuzzy sets in investigation of human cognition processes361
Ch. 16A full explanation facility for an MLP network that classifies low-back-pain patients and for predicting MLP reliability381
Ch. 17Automatic translation to controlled medical vocabularies413
Ch. 18A genetic programming for the induction of natural language parser435
Index457
List of contributors463

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