Self-Organized Robust Principal Component Analysis by Back-Propagation Learning

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  • 誤差逆伝播学習法による自己組織化ロバスト主成分分析
  • ゴサ ギャクデンパ ガクシュウホウ ニ ヨル ジコ ソシキカ ロバスト シュセイブン ブンセキ

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The purpose of this study is the suggestion of a self-organized back-propagation algorithm for robust principal component analysis. The self-organizing algorithm that discriminates the influence of data automatically is applied to learning of a sandglass type neural network.

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