Computational intelligence in time series forecasting : theory and engineering applications
Author(s)
Bibliographic Information
Computational intelligence in time series forecasting : theory and engineering applications
（Advances in industrial control）
Springer, c2005
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
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
by "Nielsen BookData"
