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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Iten, Raban | - |
dc.date.accessioned | 2024-01-24T02:04:29Z | - |
dc.date.available | 2024-01-24T02:04:29Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9122 | - |
dc.description.abstract | This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. | vi |
dc.format.extent | 168ps | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | Artificial Intelligence | vi |
dc.subject | Scientific Discoveries | vi |
dc.subject | Trí tuệ nhân tạo | vi |
dc.subject | Khám phá khoa học | vi |
dc.title | Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning | vi |
dc.type | Sách/Book | vi |
Appears in Collections | 1-Trí tuệ nhân tạo |
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