Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/368770
Title: Advanced Multiresponse Process Optimisation
Other Titles: An Intelligent and Integrated Approach
Authors: Šibalija, Tatjana V.;Majstorovi, Vidosav D.
subject: Engineering;Artificial Intelligence;Machinery.;Operations research.;Engineering;Manufacturing, Machines, Tools.;Artificial Intelligence and Robotics;Robotics and Automation.;Computational Intelligence.;Operation Research/Decision Theory.;TJ241
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Abstract: 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.
Description: Printed edition: 9783319192543.
URI: http://46.100.53.162/handle/Ebook/67909
http://localhost/handle/Hannan/368770
ISBN: 9783319192550 .
9783319192543 (print)
Appears in Collections:Mechanical Engineering

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Title: Advanced Multiresponse Process Optimisation
Other Titles: An Intelligent and Integrated Approach
Authors: Šibalija, Tatjana V.;Majstorovi, Vidosav D.
subject: Engineering;Artificial Intelligence;Machinery.;Operations research.;Engineering;Manufacturing, Machines, Tools.;Artificial Intelligence and Robotics;Robotics and Automation.;Computational Intelligence.;Operation Research/Decision Theory.;TJ241
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Abstract: 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.
Description: Printed edition: 9783319192543.
URI: http://46.100.53.162/handle/Ebook/67909
http://localhost/handle/Hannan/368770
ISBN: 9783319192550 .
9783319192543 (print)
Appears in Collections:Mechanical Engineering

Files in This Item:
File Description SizeFormat 
9783319192550.pdf7.91 MBAdobe PDFThumbnail
Preview File
Title: Advanced Multiresponse Process Optimisation
Other Titles: An Intelligent and Integrated Approach
Authors: Šibalija, Tatjana V.;Majstorovi, Vidosav D.
subject: Engineering;Artificial Intelligence;Machinery.;Operations research.;Engineering;Manufacturing, Machines, Tools.;Artificial Intelligence and Robotics;Robotics and Automation.;Computational Intelligence.;Operation Research/Decision Theory.;TJ241
Year: 2016
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Abstract: 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.
Description: Printed edition: 9783319192543.
URI: http://46.100.53.162/handle/Ebook/67909
http://localhost/handle/Hannan/368770
ISBN: 9783319192550 .
9783319192543 (print)
Appears in Collections:Mechanical Engineering

Files in This Item:
File Description SizeFormat 
9783319192550.pdf7.91 MBAdobe PDFThumbnail
Preview File