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A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks
Research article (RSC Advances, 2016) · cited 25× · AI/ML
A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks
Summary
A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks is a scholarly article[1].
Key Facts
A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-qspr-study-on-the-liquid-crystallinity-of-five-ring-bent-core-molecules-using-decision-trees-mars-and-artificial-neura
MLA“A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-qspr-study-on-the-liquid-crystallinity-of-five-ring-bent-core-molecules-using-decision-trees-mars-and-artificial-neura.
BibTeX@misc{4ortxyz_a-qspr-study-on-the-liquid-crystallinity-of-five-ring-bent-core-molecules-using-decision-trees-mars-and-artificial-neura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-qspr-study-on-the-liquid-crystallinity-of-five-ring-bent-core-molecules-using-decision-trees-mars-and-artificial-neura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks — https://4ort.xyz/entity/a-qspr-study-on-the-liquid-crystallinity-of-five-ring-bent-core-molecules-using-decision-trees-mars-and-artificial-neura (retrieved 2026-05-24)
