Popovic / Palit | Computational Intelligence in Time Series Forecasting | Buch | 978-1-85233-948-7 | sack.de

Buch, Englisch, 372 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1610 g

Reihe: Advances in Industrial Control

Popovic / Palit

Computational Intelligence in Time Series Forecasting

Theory and Engineering Applications

Buch, Englisch, 372 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1610 g

Reihe: Advances in Industrial Control

ISBN: 978-1-85233-948-7
Verlag: Springer


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.

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Zielgruppe


Academic researchers interested in predictive control, process control and automation; Industry-based engineers looking for better on-line methods to predict the variables in their plant behaviour; libraries

Weitere Infos & Material


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


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