Innovations in Intelligent Systems

by Ajith Abraham (Editor), Berend Jan van der Zwaag (Editor)

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.

Product Details

ISBN-13:	9783540202653
Publisher:	Springer Berlin Heidelberg
Publication date:	03/05/2004
Series:	Studies in Fuzziness and Soft Computing , #140
Edition description:	2004
Pages:	468
Product dimensions:	6.10(w) x 9.25(h) x 0.06(d)

Table of Contents

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