Hopfield Neural Network with Chaotic Pulse Wave Solving Traveling Salesman Problems
Kana Kurata, Yoko Uwate, Yoshifumi Nishio · 2011
In this study, in order to investigate the effect of chaotic os-cillations of real biological signals on information processing ability, we investigate the performance of the Hopfield neu-ral networks solving traveling salesman problems when the sampled data of chaotic pulse waves obtained from real bio-logical 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. 1.