Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree
Summary
Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree is a scholarly article[1].
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Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree. Retrieved May 24, 2026, from https://4ort.xyz/entity/lithology-identification-using-principal-component-analysis-and-particle-swarm-optimization-fuzzy-decision-tree
MLA“Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lithology-identification-using-principal-component-analysis-and-particle-swarm-optimization-fuzzy-decision-tree.
BibTeX@misc{4ortxyz_lithology-identification-using-principal-component-analysis-and-particle-swarm-optimization-fuzzy-decision-tree_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree}}, year = {2026}, url = {https://4ort.xyz/entity/lithology-identification-using-principal-component-analysis-and-particle-swarm-optimization-fuzzy-decision-tree}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lithology identification using principal component analysis and particle swarm optimization fuzzy decision tree — https://4ort.xyz/entity/lithology-identification-using-principal-component-analysis-and-particle-swarm-optimization-fuzzy-decision-tree (retrieved 2026-05-24)
