A modified hopfield neural network for solving TSP problem

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.