<title>Renewal method of weight matrix in optical neural network</title>

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説明

We proposed a new renewal method of the weights to realize a back propagation learning algorithm with a large number of iteration times in an optical neural network. The main purpose of this method is to use the limited dynamic range of an optical device widely. Since some weights displaying on the device are quickly saturated in the conventional method, the learning is not completed in many cases. The new technique can suppress saturation of the weights so that learning is completed. The computer simulation and the optical experiment are presented.

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詳細情報 詳細情報について

  • CRID
    1870302167910689536
  • DOI
    10.1117/12.147840
  • ISSN
    0277786X
  • データソース種別
    • OpenAIRE

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