The Back Propagation Method Using the Least Mean-Square Method for the Output Recurrent Neural Network

Yamawaki, Shigenobu; Fujino, Masashi; Imao, Syozo

doi:10.5687/iscie.12.225

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2003

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Cited by 2 publications

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“…the method is applied to the identification problem for a 2-input 2-output bilinear system given by Table 1. The identification results obtained by this method and the results given in reference [2] are both given in Fig. 1 for comparison.…”

Section: Examplementioning

confidence: 95%

A study of self-organization method of neural networks

Yamawaki

Proceedings of the 41st SICE Annual Conference. SICE 2002.

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The ability to describe a neural network depends greatly on the number of neurons. In this paper, we consider a method of obtaining an optimal neural network through a forgetting operation. It is shown that by using the proposed method, an optimum neural network can be constructed not only from neurons having large singular values of the coefficient matrix, but also from neurons having small singular values of the coefficient matrix.

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Section: Examplementioning

confidence: 95%