Advanced Multiresponse Process Optimisation (Record no. 80924)

000 -LEADER
fixed length control field 03642nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-319-19255-0
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801222557.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150725s2016 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319192550
-- 978-3-319-19255-0
082 04 - CLASSIFICATION NUMBER
Call Number 670
100 1# - AUTHOR NAME
Author Šibalija, Tatjana V.
245 10 - TITLE STATEMENT
Title Advanced Multiresponse Process Optimisation
Sub Title An Intelligent and Integrated Approach /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 298 p. 70 illus., 6 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Majstorović, Vidosav D.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-19255-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
100 1# - AUTHOR NAME
-- (orcid)0000-0001-7276-1659
-- https://orcid.org/0000-0001-7276-1659
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Manufactures.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Robotics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machines, Tools, Processes.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control, Robotics, Automation.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research and Decision Theory.
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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