Hysteretic Hopfield network with dynamic tunneling for crossbar switch and N-queens problem

Authors:
P. Thangavel;D. Gladis
Affiliations:
Department of Computer Science, University of Madras, Chepauk, Chennai 600 005, India;Department of Computer Science, University of Madras, Chepauk, Chennai 600 005, India
Venue:
Neurocomputing
Year:
2007

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Abstract

An efficient hysteretic Hopfield network with dynamic tunneling is proposed. The hysteretic activation function is used for training. The dynamic tunneling approach is employed to detrap the network from local minima. The network gives better convergence results for the selected problems namely crossbar switch problem with exclusive switching and concurrent switching, and N-queens problem.