DISTRIBUTION ANALYSIS OF METALLIFEROUS VEIN USING ARTIFICIAL NEURAL NETWORK

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  • ニューラルネットワークを用いた鉱脈分布の解析
  • Distribution analysis of metalliferous

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Abstract

This paper presents an application of artificial neural network system to the distribution analysis of metalliferous vein. The geological classification of excavating face and the spatial estimation of the ore body are difficult problems using conventional pattern recognition methods, because they require a large amount of statistical data. The artificial neural network has the ability to learn pattern recognition as a human being does from training data. We examined the multilayer perceptron neural network and the self-organizing Feature Map for the classification and the distribution of metalliferous veins. The digital images of the excavation face were processed by these methods, and consequently, the three dimension-al structures of gold veins are successfully estimated.

Journal

  • Geoinformatics

    Geoinformatics 8 (1), 15-21, 1997

    Japan Society of Geoinformatics

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