Advanced Multiresponse Process Optimisation

An Intelligent and Integrated Approach de

,

Éditeur :

Springer


Paru le : 2015-07-25

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Description
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.
Pages
298 pages
Collection
n.c
Parution
2015-07-25
Marque
Springer
EAN papier
9783319192543
EAN PDF
9783319192550

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
7997 Ko
Prix
108,89 €
EAN EPUB
9783319192550

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
4741 Ko
Prix
108,89 €

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