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Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Arash Gharehbagh | - |
| dc.date.accessioned | 2024-06-25T07:59:14Z | - |
| dc.date.available | 2024-06-25T07:59:14Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10327 | - |
| dc.description.abstract | The concept of deep machine learning becomes easier to understandable by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the beat to beat variations. This book introduces original deep learning methods for classification of such the time series using proposed clustering methods as the learning tools at the deep level | vi |
| dc.language.iso | en | vi |
| dc.publisher | CRC Press | vi |
| dc.subject | Time-series analysis | Deep learning (Machine learning) | Học sâu (Học máy) | vi |
| dc.title | Deep learning in time series analysis | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Tin học | |
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