Volcanic rock is complex and has various types. Lithology identification is the key to truly solve the gas bearing characteristics of complex lithology. In order to solve the existing volcanic lithology intelligent identification and prediction research of artificial neural network in this paper, the algorithm implementation steps and from calcium alkaline, basic and three basic properties of the volcanic lithology classification is discussed, on the basis of in view of the volcanic rock lithology intelligent identification and prediction application general situation of the region and volcanic rocks in the data analysis were described simply. And volcanic rock lithology under the integration of artificial neural network intelligent identification and prediction model to carry on the design, and through this algorithm under different number of iterations for core data of typical samples for identification and prediction of the experimental data show that this algorithm is of mudstone, siltstone, argillaceous siltstone three lithology recognition accuracy up to 93.51% on average. Therefore, it is verified that the intelligent identification and prediction of volcanic rock under the fusion of artificial neural network has high accuracy.

Lakshmi Mayanker. Intelligent Identification and Prediction of Volcanic Rock Based on Artificial Neural Network. Machine Learning Theory and Practice (2022), Vol. 3, Issue 3: 60-68. https://doi.org/10.38007/ML.2022.030308.

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