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. © 2006 IEEE.
Analog neural network for support vector machine learning / Perfetti, Renzo; Ricci, Elisa. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS. - ISSN 1045-9227. - 17:4(2006), pp. 1085-1091. [10.1109/TNN.2006.875967]
Analog neural network for support vector machine learning
Ricci, Elisa
2006-01-01
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. © 2006 IEEE.File in questo prodotto:
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