Proceedings of ELM 2018 - Proceedings in Adaptation, Learning and Optimization -  - Grāmatas - Springer Nature Switzerland AG - 9783030233099 - 2020. gada 15. augusts
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Proceedings of ELM 2018 - Proceedings in Adaptation, Learning and Optimization 2020 edition


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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

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Izlaists 2020. gada 15. augusts
ISBN13 9783030233099
Izdevēji Springer Nature Switzerland AG
Lapas 347
Izmēri 150 × 220 × 10 mm   ·   498 g
Valoda Vācu  
Redaktors Cao, Jiuwen
Redaktors Lendasse, Amaury
Redaktors Miche, Yoan
Redaktors Vong, Chi Man

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