Optimization Meeting
نویسنده
چکیده
Recently, chaotic neural networks have been paid much attention to, and contribute toward solving TSP. We study the existence of chaos in a discrete-time neural network. Chaotic behavior is an inside essence of stochastic processes in nonlinear deterministic system. The investigation provides a theoretical confirmation on the scenario of transient chaos for the system. All the parameter conditions for the theory can be examined numerically. The numerical ranges for the parameters which yield chaotic dynamics and convergent dynamics provide significant information in the annealing process in solving combinatorial optimization problems using this transiently chaotic neural network.
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