VLSI Implementation of Neuromorphic Learning Networks

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  • VLSI Implementation of Neuromorphic Learning Networks Book Detail

  • Author :
  • Release Date : 1993
  • Publisher :
  • Genre :
  • Pages : 9
  • ISBN 13 :
  • File Size : 46,46 MB

VLSI Implementation of Neuromorphic Learning Networks by PDF Summary

Book Description: The researchers have shown how to rigorously derive deterministic systems from stochastic ones in the Boltzmann machine framework that they are using for their implementations. They have further shown how to search for new learning algorithms suitable for VLSI implementation using a genetic algorithm approach. They-have analyzed the effect of precision constraints such as is found in hardware implementations on the learning and generalization abilities of neural networks. They have studied the learning behavior of neural networks under conditions where they where they can or cannot classify perfectly.

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Analog VLSI and Neural Systems

Analog VLSI and Neural Systems

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A self-contained text, suitable for a broad audience. Presents basic concepts in electronics, transistor physics, and neurobiology for readers without backgroun