| 000 | 01715naaaa2200409uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230523094907.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210420s2020 uk x |||||o ||||eng|| d | ||
| 020 | _aintechopen.87789 | ||
| 020 | _a9781839680847 | ||
| 020 | _a9781839680830 | ||
| 020 | _a9781839680854 | ||
| 024 | 7 |
_a10.5772/intechopen.87789 _cdoi |
|
| 040 |
_aoapen _coapen |
||
| 041 | 0 | _aeng | |
| 042 | _adc | ||
| 080 | _a004,8 | ||
| 100 | 1 |
_aHarkut, Dinesh G. _4edt |
|
| 245 | 1 | 0 |
_aDynamic Data Assimilation _bBeating the Uncertainties |
| 260 |
_bIntechOpen _c2020 |
||
| 300 | _a1 electronic resource (118 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aData assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc |
||
| 546 | _aEnglish | ||
| 650 | 0 |
_aИскусственный интеллект _94518 |
|
| 653 | _aApplied mathematics | ||
| 653 | _aArtificial intelligence | ||
| 653 | _aAssimilation methods | ||
| 700 | 1 |
_aHarkut, Dinesh G. _4oth |
|
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/9966/authors_book/authors_book.pdf _70 _zDownload |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/67730 _70 _zDescription |
| 909 |
_c197 _dKhurliman Arzieva |
||
| 942 |
_2udc _cEE |
||
| 999 |
_c6595 _d6595 |
||