Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data

Research article (International Journal of Coal Geology, 2023) · cited 27× · AI/ML
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Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data

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Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data. Retrieved May 24, 2026, from https://4ort.xyz/entity/intelligent-classification-of-coal-structure-using-multinomial-logistic-regression-random-forest-and-fully-connected-neu
MLA “Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intelligent-classification-of-coal-structure-using-multinomial-logistic-regression-random-forest-and-fully-connected-neu.
BibTeX @misc{4ortxyz_intelligent-classification-of-coal-structure-using-multinomial-logistic-regression-random-forest-and-fully-connected-neu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data}}, year = {2026}, url = {https://4ort.xyz/entity/intelligent-classification-of-coal-structure-using-multinomial-logistic-regression-random-forest-and-fully-connected-neu}, note = {Accessed: 2026-05-24}}
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