LEADER 03130nam 22006135 450 001 9910629283203321 005 20251008160659.0 010 $a3-031-11847-2 024 7 $a10.1007/978-3-031-11847-0 035 $a(MiAaPQ)EBC7129912 035 $a(Au-PeEL)EBL7129912 035 $a(CKB)25289981800041 035 $a(PPN)265857295 035 $a(DE-He213)978-3-031-11847-0 035 $a(OCoLC)1350688905 035 $a(EXLCZ)9925289981800041 100 $a20221031d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Mechanics with Deep Learning $eAn Introduction /$fby Genki Yagawa, Atsuya Oishi 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (408 pages) 225 1 $aLecture Notes on Numerical Methods in Engineering and Sciences,$x1877-735X 311 08$aPrint version: Yagawa, Genki Computational Mechanics with Deep Learning Cham : Springer International Publishing AG,c2022 9783031118463 327 $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. 330 $aThis book is intended for students, engineers, and researchers interested in both computational mechanics and deep learning. It presents the mathematical and computational foundations of Deep Learning with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and deep learning. 410 0$aLecture Notes on Numerical Methods in Engineering and Sciences,$x1877-735X 606 $aMechanics, Applied 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aEngineering Mechanics 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aMechanics, Applied. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aEngineering Mechanics. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.31 676 $a620.100285631 700 $aYagawa$b Genki$0849574 702 $aOishi$b Atsuya 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910629283203321 996 $aComputational mechanics with deep learning$93062401 997 $aUNINA