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Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models
Research article (The International Journal of Advanced Manufacturing Technology, 2019) · cited 18× · AI/ML
Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models
Summary
Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models is a scholarly article[1].
Key Facts
Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-precision-in-the-prediction-of-laser-texturing-and-surface-interference-of-316l-assessed-by-neural-network-and
MLA“Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-precision-in-the-prediction-of-laser-texturing-and-surface-interference-of-316l-assessed-by-neural-network-and.
BibTeX@misc{4ortxyz_improving-precision-in-the-prediction-of-laser-texturing-and-surface-interference-of-316l-assessed-by-neural-network-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models}}, year = {2026}, url = {https://4ort.xyz/entity/improving-precision-in-the-prediction-of-laser-texturing-and-surface-interference-of-316l-assessed-by-neural-network-and}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models — https://4ort.xyz/entity/improving-precision-in-the-prediction-of-laser-texturing-and-surface-interference-of-316l-assessed-by-neural-network-and (retrieved 2026-05-24)
