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Advanced multiresponse process optim...
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Sibalija, Tatjana V.
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Advanced multiresponse process optimisation = an intelligent and integrated approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Advanced multiresponse process optimisation/ by Tatjana V. Sibalija, Vidosav D. Majstorovic.
其他題名:
an intelligent and integrated approach /
作者:
Sibalija, Tatjana V.
其他作者:
Majstorovic, Vidosav D.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xvii, 284 p. :ill. (some col.), digital ;24 cm.
內容註:
Introduction -- Review of multiresponse optimisation approaches -- An intelligent, integrated, problem-independent method for multiresponse process optimisation -- Implementation of an intelligent, integrated, problem-independent method to multiresponse process optimisation -- Case studies -- Conclusion.
Contained By:
Springer eBooks
標題:
Manufacturing processes. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-19255-0
ISBN:
9783319192550$q(electronic bk.)
Advanced multiresponse process optimisation = an intelligent and integrated approach /
Sibalija, Tatjana V.
Advanced multiresponse process optimisation
an intelligent and integrated approach /[electronic resource] :by Tatjana V. Sibalija, Vidosav D. Majstorovic. - Cham :Springer International Publishing :2016. - xvii, 284 p. :ill. (some col.), digital ;24 cm.
Introduction -- Review of multiresponse optimisation approaches -- An intelligent, integrated, problem-independent method for multiresponse process optimisation -- Implementation of an intelligent, integrated, problem-independent method to multiresponse process optimisation -- Case studies -- Conclusion.
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi's quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.
ISBN: 9783319192550$q(electronic bk.)
Standard No.: 10.1007/978-3-319-19255-0doiSubjects--Topical Terms:
613090
Manufacturing processes.
LC Class. No.: TS183
Dewey Class. No.: 670
Advanced multiresponse process optimisation = an intelligent and integrated approach /
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