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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.

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Sprog:
Engelsk

ISBN:
9783030233099

Forlag:
Springer Nature Switzerland AG

Indbinding:
Paperback

Sideantal:
347

Udgivet:
15. august 2020

Udgave:
12020

Størrelse:
155x235x0 mm.

Vægt:
545 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 16. januar 2025

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Beskrivelse af Proceedings of ELM 2018

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.

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