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

ibalija, Tatjana; Majstorovic, Vidosav

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

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Verlag
Data di pubblicazione
2015
Lingua
Inglese
ISBN 10 
331919254X
ISBN 13 
9783319192543
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
316
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Germania

Altre edizioni note dello stesso titolo

9783319372594: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach

Edizione in evidenza

ISBN 10:  3319372599 ISBN 13:  9783319372594
Casa editrice: Springer, 2016
Brossura