Hopfield Neural Network with Chaotic Pulse Wave Solving Traveling Salesman Problems

In this study, in order to investigate the effect of chaotic oscillations of real biological signals on information processing ability, we investigate the performance of the Hopfield neural networks solving traveling salesman problems when the sampled data of chaotic pulse waves obtained from real biological experiments are poured into the neurons. Computer simulated results show that the performance of the chaotic pulse wave is better than the case of random noise.

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