Lithology classification using self-organising map

C.C. Fung; K.W. Wong; H. Eren; R. Charlebois

doi:10.1109/ICNN.1995.488233

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Lithology classification using self-organising map

Conference paper

Open access

Lithology classification using self-organising map

C.C. Fung, K.W. Wong, H. Eren and R. Charlebois

Proceedings of ICNN'95 - International Conference on Neural Networks, Vol.1, pp.526-531

IEEE

IEEE International Conference on Neural Networks (Perth, Western Australia, 27/11/1995–01/12/1995)

1995

DOI: https://doi.org/10.1109/ICNN.1995.488233

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Abstract

This paper reports the application of Kohonen's self-organising map (SOM) network to the classification of lithology from well log data. The well log data are classified into nodes according to a pre-defined grid arrangement. The learning vector quantization (LVQ) algorithm is then applied to train the network under supervised learning. After the network is trained, it is used as the classification model for subsequent data. Results obtained from example studies using this proposed method have shown to be fast and accurate

Details

Title: Lithology classification using self-organising map
Authors/Creators: C.C. Fung (Author/Creator) - Curtin University
K.W. Wong (Author/Creator) - Curtin University
H. Eren (Author/Creator) - Curtin University
R. Charlebois (Author/Creator)
Publication Details: Proceedings of ICNN'95 - International Conference on Neural Networks, Vol.1, pp.526-531
Conference: IEEE International Conference on Neural Networks (Perth, Western Australia, 27/11/1995–01/12/1995)
Publisher: IEEE
Identifiers: 991005540191607891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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