Overview
- Teaches the practising reader to apply previously impractical statistical methods to the prediction of a wide range of variables in industrial plant increasing efficiency and saving money
- The academic reader will learn of the latest research in the design of intelligent computing systems and their application to control mechanisms opening up new areas of predictive control and automation
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (10 chapters)
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Front Matter
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Basic Intelligent Computational Technologies
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Hybrid Computational Technologies
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Recent Developments
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Back Matter
Keywords
About this book
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.
Reviews
From the reviews:
This is a monograph whose aim is of special and singular interest: to present systematic and comprehensive methods and techniques of computational intelligence and soft computing for solving forecasting and prediction problems … of time series. The book is designed to be largely self-contained and is devoted to offer researchers, practicing engineers, and applications-oriented professionals a reference volume and a valuable guide for the design, building and execution of forecasting and prediction experiments … . The entire monograph is sensibly structured … .
Zentralblatt MATH 1095 (2006) (Reviewer: Neculai Curteanu)
Authors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence in Time Series Forecasting
Book Subtitle: Theory and Engineering Applications
Authors: Ajoy K. Palit, Dobrivoje Popovic
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/1-84628-184-9
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-948-7Published: 01 July 2005
Softcover ISBN: 978-1-84996-970-3Published: 21 October 2010
eBook ISBN: 978-1-84628-184-6Published: 04 January 2006
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXII, 372
Topics: Artificial Intelligence, Simulation and Modeling, Control, Robotics, Mechatronics, Quality Control, Reliability, Safety and Risk, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences