Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach - Hardcover

Šibalija, Tatjana V.; Majstorović, Vidosav D.

 
9783319192543: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach
Hardcover
ISBN 10: 331919254X ISBN 13: 9783319192543
Verlag: Springer, 2015

Inhaltsangabe

This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

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Von der hinteren Coverseite

This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

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Verlag
Springer
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
331919254X
ISBN 13 
9783319192543
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
315
Kontakt zum Hersteller
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Darmstadt
64293
Deutschland

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Vorgestellte Ausgabe

ISBN 10:  3319372599 ISBN 13:  9783319372594
Verlag: Springer, 2016
Softcover