This paper presents a fuzzy approach to the traditional Hopfield-Tank TSP model. It is shown that a fuzzy interpretation of the rows of the activation array reveals interesting features of the dynamics. For example, the initial 'centroid' nature of the network becomes obvious, and even more interesting is the emergence of a 'monotonic' phase that paves the way for the final, nearest-city, phase. This fuzzy approach sheds new light on the Hopfield-Tank model and exposes many previously unnoticed aspects of the network.
William J. Wolfe,
"Fuzzy Hopfield-Tank TSP model", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); doi: 10.1117/12.342871; https://doi.org/10.1117/12.342871