力学系を用いた階層型NNの学習の高速化に関する一検討

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  • A Study on Improvement in Learning Efficiency of Multilayered Neural Networks based on Dynamical System
  • リキガクケイ オ モチイタ カイソウガタ NN ノ ガクシュウ ノ コウソクカ

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This paper proposes a new method, which uses dynamics of dynamical system, for improving learning efficiency in multilayered neural networks. The shape of the error function is analyzed using Monte-Carlo simulation, and the learning efficiency is improved on the basis of the shape analysis and the adaptive learning rate.<br>The proposed method uses the adaptive learning rate, which is determined from the gradient of the error function. The proposed method is applied to XOR and 5-parity check problems and the effectiveness and feasibility of the proposed method are verified.

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