ISBN-10:
1849969701
ISBN-13:
9781849969703
Pub. Date:
12/13/2010
Publisher:
Springer London
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications / Edition 1

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications / Edition 1

by Ajoy K. Palit, Dobrivoje Popovic

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Overview

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications / Edition 1

Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.

Product Details

ISBN-13: 9781849969703
Publisher: Springer London
Publication date: 12/13/2010
Series: Advances in Industrial Control
Edition description: Softcover reprint of hardcover 1st ed. 2005
Pages: 372
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Part I: Introduction Computational Intelligence: An Introduction Traditional Problem Definition Part II: Basic Intelligent Computational Technologies Neural Networks Approach Fuzzy Logic Approach Evolutionary Computation Part III: Hybrid Computational Technologies Neuro-fuzzy Approach Transparent Fuzzy/Neuro-fuzzy Modeling Evolving Neural and Fuzzy Systems Adaptive Genetic Algorithms Part IV: Recent Developments The State of the Art and Development Trends

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