| 000 | 00948nam a2200289 4500 | ||
|---|---|---|---|
| 008 | 230815t2022 ||||| |||| 00| 0 eng d | ||
| 041 | _aeng | ||
| 080 | _a004(043) | ||
| 100 | _aVijithasena, Mudiyanse Rasika Gayani | ||
| 245 | _aHybrid CNN-LSTM model for minute - wise stock market price prediction | ||
| 260 | _c[2022] | ||
| 300 |
_aviii, 64p. : graphs, ill., tables, _eCD-ROM |
||
| 502 |
_cCS _dFAC_ENG _gUniversity of Moratuwa _o22 |
||
| 650 | _aDEEP LEARNING | ||
| 650 |
_aLSTM _922822 |
||
| 650 |
_aCNN _922243 |
||
| 650 | _aHYBRID CNN-LSTM | ||
| 650 | _aMACHINE LEARNING | ||
| 650 | _aSTOCK PRICE PREDICTION | ||
| 650 | _a INFORMATION TECHNOLOGY -Dissertation | ||
| 650 | _a COMPUTER SCIENCE -Dissertation | ||
| 650 | _aCOMPUTER SCIENCE & ENGINEERING -Dissertation | ||
| 658 | _aMSc in Computer Science | ||
| 700 |
_aDr. Sapumal Ahangama _esup |
||
| 856 | _uhttp://dl.lib.uom.lk/handle/123/21655 | ||
| 942 | _cTH | ||
| 999 |
_c181677 _d181677 |
||