Proceedings of ELM 2017 - - Books - Springer Nature Switzerland AG - 9783030015190 - October 17, 2018
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Proceedings of ELM 2017 1st ed. 2019 edition

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Proceedings of ELM 2017 1st ed. 2019 edition

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.

340 pages, 130 Illustrations, black and white; VII, 340 p. 130 illus.

Media Books     Book
Released October 17, 2018
ISBN13 9783030015190
Publishers Springer Nature Switzerland AG
Pages 340
Dimensions 666 g
Language German  
Editor Cao, Jiuwen
Editor Lendasse, Amaury
Editor Miche, Yoan
Editor Vong, Chi Man