Parameter‐controlled chaos neural networks
Tsuyoshi Kasahara, Masahiro Marshall Nakagawa · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1995
Abstract A chaos neural network with externally controlled parameters is proposed and a few applications to an association model and a combinatorial optimization problem are given. It is found that a relatively higher success rate for the memory retrieval can be achieved by using the association model instead of the conventional model (burdened by chaotic wandering) because unacceptable trapping at a spurious state is avoided and the traveling salesman problem can be solved using parameter control reminiscent of the annealing in the Boltzmann machine.