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Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means
Research article (RSC Advances, 2015) · cited 53× · AI/ML
Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means
Summary
Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means is a scholarly article[1].
Key Facts
Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means. Retrieved May 24, 2026, from https://4ort.xyz/entity/solubility-prediction-of-supercritical-carbon-dioxide-in-10-polymers-using-radial-basis-function-artificial-neural-netwo
MLA“Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/solubility-prediction-of-supercritical-carbon-dioxide-in-10-polymers-using-radial-basis-function-artificial-neural-netwo.
BibTeX@misc{4ortxyz_solubility-prediction-of-supercritical-carbon-dioxide-in-10-polymers-using-radial-basis-function-artificial-neural-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means}}, year = {2026}, url = {https://4ort.xyz/entity/solubility-prediction-of-supercritical-carbon-dioxide-in-10-polymers-using-radial-basis-function-artificial-neural-netwo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means — https://4ort.xyz/entity/solubility-prediction-of-supercritical-carbon-dioxide-in-10-polymers-using-radial-basis-function-artificial-neural-netwo (retrieved 2026-05-24)
