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Analog neural network for support vector machine learning

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2 Author(s)
R. Perfetti ; Dept. of Electron. & Inf. Eng., Perugia Univ., Italy ; E. Ricci

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

Published in:

IEEE Transactions on Neural Networks  (Volume:17 ,  Issue: 4 )