DISTRIBUTION ANALYSIS OF METALLIFEROUS VEIN USING ARTIFICIAL NEURAL NETWORK
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- GU Bin
- Graduate School of Science and Technology, Kumamoto Univ.
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- KOIKE Katsuaki
- Faculty of Engineering, Kumamoto Univ.
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- OHMI Michito
- Faculty of Engineering, Kumamoto Univ.
Bibliographic Information
- Other Title
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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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Description
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
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- Geoinformatics
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Geoinformatics 8 (1), 15-21, 1997
Japan Society of Geoinformatics
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Details 詳細情報について
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- CRID
- 1390282679416205056
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- NII Article ID
- 10004560453
- 130006829233
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- NII Book ID
- AN0036643X
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- ISSN
- 1347541X
- 0388502X
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- NDL BIB ID
- 4171035
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed