A Parallel Neural Processor for Real-Time Applications

  • Authors:
  • Giovanni Danese;Francesco Leporati;Stefano Ramat

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Micro
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Training and testing artificial neural networks can be challenging and time-consuming. experiments with tworeal-time applications compared three approaches for implementing a multilayer perceptron neural network. In both applications, the special-purpose processor performed best.