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Reservoir Computing: Theory, Physical Implementations, and Applications - Natural Computing Series 1st ed. 2021 edition
Reservoir Computing: Theory, Physical Implementations, and Applications - Natural Computing Series
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.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 6 août 2021 |
| ISBN13 | 9789811316869 |
| Éditeurs | Springer Verlag, Singapore |
| Pages | 458 |
| Dimensions | 150 × 220 × 20 mm · 843 g |
| Éditeur | Fischer, Ingo |
| Éditeur | Nakajima, Kohei |
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