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| 003 | TR-AnTOB | ||
| 005 | 20231121103132.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210724s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030758479 | ||
| 024 | 7 |
_a10.1007/978-3-030-75847-9 _2doi |
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| 040 |
_aTR-AnTOB _beng _erda _cTR-AnTOB |
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| 041 | _aeng | ||
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aTGP _2bicssc |
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| 072 | 7 |
_aTEC009060 _2bisacsh |
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_aTGP _2thema |
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| 090 | _aTA347.A78EBK | ||
| 245 | 1 | 0 |
_aMachine Learning in Industry _h[electronic resource] / _cedited by Shubhabrata Datta, J. Paulo Davim. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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| 300 | _a1 online resource | ||
| 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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| 490 | 1 |
_aManagement and Industrial Engineering, _x2365-0540 |
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| 505 | 0 | _aFundamentals of Machine learning -- Neural network model identification studies to predict residual stress of a steel plate based on a non-destructive Barkhausen noise measurement -- Data Driven Optimization of Blast Furnace Iron Making Process Using Evolutionary Deep Learning -- A brief appraisal of machine learning in industrial sensing probes -- Mining the genesis of sliver defects through Rough and Fuzzy Set Theories. | |
| 520 | _aThis book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems. | ||
| 650 | 0 | _aIndustrial engineering. | |
| 650 | 0 | _aProduction engineering. | |
| 650 | 0 | _aMachine learning. | |
| 650 | 1 | 4 | _aIndustrial and Production Engineering. |
| 650 | 2 | 4 | _aMachine Learning. |
| 653 | 0 | _aArtificial intelligence -- Industrial applications | |
| 653 | 0 | _aMachine learning | |
| 700 | 1 |
_aDatta, Shubhabrata. _eeditor. _0(orcid)0000-0002-7716-9205 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aDavim, J. Paulo. _eeditor. _0(orcid)0000-0002-5659-3111 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 830 | 0 |
_aManagement and Industrial Engineering, _x2365-0540 |
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| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-030-75847-9 _3Springer eBooks _zOnline access link to the resource |
| 942 |
_2lcc _cEBK |
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