000 | 03325nam a22005775i 4500 | ||
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001 | 978-3-031-11847-0 | ||
003 | DE-He213 | ||
005 | 20240207153456.0 | ||
007 | cr nn 008mamaa | ||
008 | 221031s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031118470 _9978-3-031-11847-0 |
||
050 | 4 | _aTA349-359 | |
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_a620.1 _223 |
100 | 1 |
_aYagawa, Genki. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aComputational Mechanics with Deep Learning _h[electronic resource] : _bAn Introduction / _cby Genki Yagawa, Atsuya Oishi. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2023. |
|
300 |
_aXIV, 402 p. 181 illus., 141 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes on Numerical Methods in Engineering and Sciences, _x1877-735X |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _a1. Overview -- 2. Mathematical Background for Deep Learning -- 3. Computational Mechanics with Deep Learning -- 4. Numerical Quadrature with Deep Learning -- 5. Improvement of Finite Element Solutions with Deep Learning -- 6. Contact Mechanics with Deep Learning -- 7. Flow Simulation with Deep Learning -- 8. Further Applications with Deep Learning -- 9. Bases for Computer Programming -- 10. Computer Programming for a Representative Problem. | |
520 | _aThis book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aMechanics, Applied. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aEngineering Mechanics. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence. |
700 | 1 |
_aOishi, Atsuya. _eauthor. _0(orcid)0000-0001-6820-6898 _1https://orcid.org/0000-0001-6820-6898 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031118463 |
776 | 0 | 8 |
_iPrinted edition: _z9783031118487 |
776 | 0 | 8 |
_iPrinted edition: _z9783031118494 |
830 | 0 |
_aLecture Notes on Numerical Methods in Engineering and Sciences, _x1877-735X |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-11847-0 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
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