| 000 | 03642nam a22006015i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-19255-0 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222557.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150725s2016 sz | s |||| 0|eng d | ||
| 020 |
_a9783319192550 _9978-3-319-19255-0 |
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| 024 | 7 |
_a10.1007/978-3-319-19255-0 _2doi |
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| 050 | 4 | _aTS1-2301 | |
| 072 | 7 |
_aTGP _2bicssc |
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| 072 | 7 |
_aTEC020000 _2bisacsh |
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| 072 | 7 |
_aTGP _2thema |
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| 082 | 0 | 4 |
_a670 _223 |
| 100 | 1 |
_aŠibalija, Tatjana V. _eauthor. _0(orcid)0000-0001-7276-1659 _1https://orcid.org/0000-0001-7276-1659 _4aut _4http://id.loc.gov/vocabulary/relators/aut _962217 |
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| 245 | 1 | 0 |
_aAdvanced Multiresponse Process Optimisation _h[electronic resource] : _bAn Intelligent and Integrated Approach / _cby Tatjana V. Šibalija, Vidosav D. Majstorović. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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| 300 |
_aXVII, 298 p. 70 illus., 6 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- 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 | _aThis 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. | ||
| 650 | 0 |
_aManufactures. _931642 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aControl engineering. _931970 |
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| 650 | 0 |
_aRobotics. _92393 |
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| 650 | 0 |
_aAutomation. _92392 |
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| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aOperations research. _912218 |
|
| 650 | 1 | 4 |
_aMachines, Tools, Processes. _931645 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aControl, Robotics, Automation. _931971 |
| 650 | 2 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aOperations Research and Decision Theory. _931599 |
| 700 | 1 |
_aMajstorović, Vidosav D. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962218 |
|
| 710 | 2 |
_aSpringerLink (Online service) _962219 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319192543 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319192567 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319372594 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-19255-0 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80924 _d80924 |
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