Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:A2L-F
Session:
Number:A2L-F-4
Hopfield Neural Network with Synaptic Pruning for TSP
Ryota Oshima, Yoko Uwate, Yoshifumi Nishio,
pp.105-108
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
In this study, we propose two methods that incorporate the concept of synaptic pruning for an artificial neural network. The synaptic pruning is that the excess couplings between the neurons are disconnected. The performance of the two methods are investigated when these methods are applied to the Hopfield neural network for Traveling Salesman Problem (TSP).