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The chaotic neural network (CNN), the combination of the chaotic and the artificial neural network (ANN), is presented and applied to optimize the vacuum interrupter. Moreover, the unique dynamic characteristic of the CNN has been successfully utilized for solving the multivariable optimization. And the feasibility and the validity for the global optimization are verified by the demonstrated examples
The chaotic mechanism has been introduced to optimize the electric apparatus in this paper. By combining the chaotic mechanism and artificial neural network (ANN), the chaotic Hopfield neural network (CHNN) has been established, and applied to solve the optimum problem of the demonstrated examples. From the simulation results, it can be found that the proposed CHNN can be employed to solve the optimization...
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