Proceedings of ELM-2017 - Proceedings in Adaptation, Learning and Optimization - - Books - Springer Nature Switzerland AG - 9783030131821 - December 10, 2019
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Proceedings of ELM-2017 - Proceedings in Adaptation, Learning and Optimization Softcover Reprint of the Original 1st 2019 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.

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

Media Books     Paperback Book   (Book with soft cover and glued back)
Released December 10, 2019
ISBN13 9783030131821
Publishers Springer Nature Switzerland AG
Pages 340
Dimensions 150 × 220 × 10 mm   ·   534 g
Language German  
Editor Cao, Jiuwen
Editor Lendasse, Amaury
Editor Miche, Yoan
Editor Vong, Chi Man

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