A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem

In this paper, a binary Hopfield neural network with positive self-feedbacks and its collective computational properties are studied. It is proved theoretically and confirmed by simulating the randomly generated Hopfield neural networks with positive self-feedbacks that the emergent collective properties of the original Hopfield neural network also are present in the Hopfield network with positive self-feedbacks. As an example, the network is also applied to the N-Queens problem and results of computer simulations are presented and used to illustrate the computation power of the networks.