Coal and gas outburst prediction based on data augmentation and neuroevolution
Coal and gas outburst prediction based on data augmentation and neuroevolution
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United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Coal and gas outburst (CGO) is a complicated natural disaster in underground coal mine production. In constructing smart mines, predicting CGO risks efficiently and accurately is necessary. This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied...
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Full title
Coal and gas outburst prediction based on data augmentation and neuroevolution
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TN_cdi_plos_journals_3169105315
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3169105315
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0317461
