| LDR | | 02359nam u200733 4500 |
| 001 | | 000000468049 |
| 005 | | 20220223113229 |
| 008 | | 220131s2021 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798535507170 |
| 035 | |
▼a (MiAaPQ)AAI28546948 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 530 |
| 100 | 1 |
▼a Shea, Daniel e. |
| 245 | 10 |
▼a Machine Learning for Nonlinear Materials Characterization and Modeling. |
| 260 | |
▼a [S.l.]:
▼b University of Washington.,
▼c 2021. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
| 300 | |
▼a 130 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B. |
| 500 | |
▼a Advisor: Kutz, J. Nathan;Brunton, Steven L. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2021. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0250. |
| 650 | 4 |
▼a Computational physics. |
| 650 | 4 |
▼a Applied mathematics. |
| 650 | 4 |
▼a Materials science. |
| 650 | 4 |
▼a Deep learning. |
| 650 | 4 |
▼a Datasets. |
| 650 | 4 |
▼a Collaboration. |
| 650 | 4 |
▼a Identification. |
| 650 | 4 |
▼a Dissertations & theses. |
| 650 | 4 |
▼a Eigen values. |
| 650 | 4 |
▼a Decomposition. |
| 650 | 4 |
▼a Noise. |
| 650 | 4 |
▼a Physical sciences. |
| 650 | 4 |
▼a Time series. |
| 650 | 4 |
▼a Dynamical systems. |
| 650 | 4 |
▼a 20th century. |
| 650 | 4 |
▼a Boundary value problems. |
| 650 | 4 |
▼a Heat transfer. |
| 650 | 4 |
▼a Quantum physics. |
| 650 | 4 |
▼a Partial differential equations. |
| 650 | 4 |
▼a Coordinate transformations. |
| 650 | 4 |
▼a Oscillators. |
| 650 | 4 |
▼a Engineering. |
| 650 | 4 |
▼a Algorithms. |
| 690 | |
▼a 0216 |
| 690 | |
▼a 0794 |
| 690 | |
▼a 0364 |
| 690 | |
▼a 0599 |
| 690 | |
▼a 0537 |
| 710 | 20 |
▼a University of Washington.
▼b Materials Science and Engineering. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0250 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2021 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16052778
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |