Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach - Tapa blanda

Šibalija, Tatjana V. V.; Majstorović, Vidosav D.

 
9783319372594: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach
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ISBN 10: 3319372599 ISBN 13: 9783319372594
Editorial: Springer, 2016

Sinopsis

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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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3319372599
ISBN 13 
9783319372594
Encuadernación
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Número de páginas
316
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9783319192543: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach

Edición Destacada

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Editorial: Springer, 2015
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