收录:
摘要:
In view of the problem that Hopfield neural network is easy to fall into local minimum, this paper proposes a modified Hopfield neural network to overcome this problem. By adjusting the connection weights which is governed by the objective function, the energy function decreases until to the global minimum. The modified Hopfield neural network is used for solving TSP problem, and the experimental results show that the network will escape the local minimum. The validity and feasibility of the modified Hopfield neural network is proved.
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通讯作者信息:
来源 :
PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA)
年份: 2016
页码: 1775-1780
语种: 英文
归属院系: