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Proceedings of ELM 2018 - Proceedings in Adaptation, Learning and Optimization 2020 edition
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Proceedings of ELM 2018 - Proceedings in Adaptation, Learning and Optimization
ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments.
347 pages, 100 Tables, color; 79 Illustrations, color; 30 Illustrations, black and white; VIII, 347
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 15. august 2020 |
| ISBN13 | 9783030233099 |
| Utgivere | Springer Nature Switzerland AG |
| Antall sider | 347 |
| Mål | 150 × 220 × 10 mm · 498 g |
| Språk | Tysk |
| Redaktør | Cao, Jiuwen |
| Redaktør | Lendasse, Amaury |
| Redaktør | Miche, Yoan |
| Redaktør | Vong, Chi Man |