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Academic Paper
Yoko Uwate, Yoshifumi Nishio, Tetsushi Ueta, Tohru Kawabe, Tohru Ikeguchi, Performance of Chaos and Burst Noises Injected to the Hopfield NN for Quadratic Assignment Problems, Institute of Electronics, Information and Communication Engineers, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol.E87-A, No.4, pp.937-943, Apr. 2004.

Abstract: In this paper, performance of chaos and burst noises injected to the Hopfield Neural Network for quadratic assignment problems is investigated. For the evaluation of the noises, two methods to appreciate finding a lot of nearly optimal solutions are proposed. By computer simulations, it is confirmed that the burst noise generated by the Gilbert model with a laminar part and a burst part achieved the good performance as the intermittency chaos noise near the three-periodic window.


Contact address: ueta @ tokushima-u.ac.jp
2016-07-08