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Optimization of electromagnetic devices using artificial neural network with quasi-Newton algorithm

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3 Author(s)
Ishikawa, T. ; Dept. of Electron. Eng., Gunma Univ., Japan ; Tsukui, Y. ; Matsunami, M.

The paper proposes a method for the design optimization of electromagnetic devices. It utilizes an artificial neural network with the quasi-Newton algorithm. The proposed method can determine optimal weights and biases in the neural network more rapidly than the conventional method. A simple electromagnetic device is optimized by using this method. The paper reviews several optimization techniques for learning in multilayer neural networks. From the results of comparative numerical simulations, it proposes a method to construct the nonlinear mapping function more rapidly than the conventional algorithm, that is, the error back-propagation proposed by Rumelhart et al. (1986)

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Magnetics, IEEE Transactions on  (Volume:32 ,  Issue: 3 )