ニューラルネットワークによる近赤外スペクトルからの鉱物成分の同定

DOI NDLデジタルコレクション Web Site Web Site 被引用文献9件 参考文献2件

書誌事項

タイトル別名
  • Identification of mineral components from near-infrared spectra by a neural network.
  • ニューラル ネットワーク ニ ヨル キンセキガイ スペクトル カラ ノ コウブ

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説明

A system to identify mineral components from near-infrared spectra by applying a neural network technique was examined. Reflective spectral data at 240 wavelength points for the wavelength range between 1300 and 2400 nm were entered into the input layer of a three-layered neural network trained by the error-back-propagation method. Spectra of various kinds of pure and mixed samples were used for the training, and the mineral components contained in the test samples were examined. As a result, a neural network to identify six kinds of mineral components with a probability of nearly 100% was constructed, and the possibility to develop a system to identify mineral components rapidly is demonstrated.

収録刊行物

  • 分析化学

    分析化学 43 (10), 765-769, 1994

    公益社団法人 日本分析化学会

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