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Palit / Popovic

Computational Intelligence in Time Series Forecasting

Theory and Engineering Applications

Medium: Buch
ISBN: 978-1-84996-970-3
Verlag: Springer
Erscheinungstermin: 21.10.2010
Lieferfrist: bis zu 10 Tage

Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the time and computational effort required. The advent of soft computing tools offers a solution.

The authors harness the power of intelligent technologies individually and in combination. Examples of the particular systems and processes susceptible to each technique are investigated, cultivating a comprehensive exposition of the improvements on offer in quality, model building and predictive control and the selection of appropriate tools from the plethora available.

Application-oriented engineers in process control, manufacturing, production industry and research centres will find much to interest them in this book. It is suitable for industrial training purposes, as well as serving as valuable reference material for experimental researchers.


Produkteigenschaften


  • Artikelnummer: 9781849969703
  • Medium: Buch
  • ISBN: 978-1-84996-970-3
  • Verlag: Springer
  • Erscheinungstermin: 21.10.2010
  • Sprache(n): Englisch
  • Auflage: 1. Auflage. Softcover version of original hardcover Auflage 2005
  • Serie: Advances in Industrial Control
  • Produktform: Kartoniert, Paperback
  • Gewicht: 598 g
  • Seiten: 372
  • Format (B x H x T): 155 x 235 x 22 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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