Computational Intelligence in Time Series Forecasting

Theory and Engineering Applications de

,

Éditeur :

Springer


Collection :

Advances in Industrial Control

Paru le : 2006-01-04

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Description
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.
Pages
372 pages
Collection
Advances in Industrial Control
Parution
2006-01-04
Marque
Springer
EAN papier
9781852339487
EAN PDF
9781846281846

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
37
Taille du fichier
2806 Ko
Prix
147,69 €