Advanced Multiresponse Process Optimisation (Record no. 80924)
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000 -LEADER | |
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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. |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | 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 |
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-- | ZDB-2-SXE |
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