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About Proceedings of ELM-2017

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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  • Language:
  • English
  • ISBN:
  • 9783030131821
  • Binding:
  • Paperback
  • Pages:
  • 340
  • Published:
  • December 9, 2019
  • Edition:
  • 12019
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 534 g.
Delivery: 2-4 weeks
Expected delivery: January 26, 2025
Extended return policy to January 30, 2025
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Description of Proceedings of ELM-2017

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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