Proceedings of ELM 2018 - - Books - Springer Nature Switzerland AG - 9783030233068 - June 30, 2019
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Proceedings of ELM 2018 1st ed. 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

Media Books     Book
Released June 30, 2019
ISBN13 9783030233068
Publishers Springer Nature Switzerland AG
Pages 347
Dimensions 150 × 220 × 20 mm   ·   671 g
Language German  
Editor Cao, Jiuwen
Editor Lendasse, Amaury
Editor Miche, Yoan
Editor Vong, Chi Man

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