Home ›
Entities
› academia
› Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data
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
Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data
Summary
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].
Key Facts
Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intelligent classification of coal structure using multinomial logistic regression, random forest and fully connected neural network with multisource geophysical logging data — https://4ort.xyz/entity/intelligent-classification-of-coal-structure-using-multinomial-logistic-regression-random-forest-and-fully-connected-neu (retrieved 2026-05-24)