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Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites
Research article (Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2021) · cited 19× · AI/ML
Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites
Summary
Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites is a scholarly article[1].
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Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-response-surface-methodology-with-artificial-neural-network-for-prediction-of-the-tensile-properties-of-fr
MLA“Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-response-surface-methodology-with-artificial-neural-network-for-prediction-of-the-tensile-properties-of-fr.
BibTeX@misc{4ortxyz_comparison-of-response-surface-methodology-with-artificial-neural-network-for-prediction-of-the-tensile-properties-of-fr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-response-surface-methodology-with-artificial-neural-network-for-prediction-of-the-tensile-properties-of-fr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites — https://4ort.xyz/entity/comparison-of-response-surface-methodology-with-artificial-neural-network-for-prediction-of-the-tensile-properties-of-fr (retrieved 2026-05-24)
