Analog neural network for support vector machine learning

  • Authors:
  • R. Perfetti;E. Ricci

  • Affiliations:
  • Dept. of Electron. & Inf. Eng., Perugia Univ.;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 2006

Quantified Score

Hi-index 0.01

Visualization

Abstract

An analog neural network for support vector machine learning is proposed, based on a partially dual formulation of the quadratic programming problem. It results in a simpler circuit implementation with respect to existing neural solutions for the same application. The effectiveness of the proposed network is shown through some computer simulations concerning benchmark problems