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Reservoir Computing: Theory, Physical Implementations, and Applications - Natural Computing Series 1st ed. 2021 edition
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Reservoir Computing: Theory, Physical Implementations, and Applications - Natural Computing Series 1st ed. 2021 edition
It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, including complex systems science, physics, material science, biological science, quantum machine learning, optical communication systems, and robotics.
Approx. 500 p.
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 6 de agosto de 2021 |
| ISBN13 | 9789811316869 |
| Editoras | Springer Verlag, Singapore |
| Páginas | 458 |
| Dimensões | 881 g |
| Editor | Fischer, Ingo |
| Editor | Nakajima, Kohei |