Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm
Summary
Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm is a scholarly article[1].
Key Facts
Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-and-application-of-porosity-based-on-support-vector-regression-model-optimized-by-adaptive-dragonfly-algorith
MLA“Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-and-application-of-porosity-based-on-support-vector-regression-model-optimized-by-adaptive-dragonfly-algorith.
BibTeX@misc{4ortxyz_prediction-and-application-of-porosity-based-on-support-vector-regression-model-optimized-by-adaptive-dragonfly-algorith_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-and-application-of-porosity-based-on-support-vector-regression-model-optimized-by-adaptive-dragonfly-algorith}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction and application of porosity based on support vector regression model optimized by adaptive dragonfly algorithm — https://4ort.xyz/entity/prediction-and-application-of-porosity-based-on-support-vector-regression-model-optimized-by-adaptive-dragonfly-algorith (retrieved 2026-05-24)
