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Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation
Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation
Summary
Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation is a scholarly article[1].
Key Facts
Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-of-sugarcane-bagasse-conversion-to-levulinic-acid-using-response-surface-methodology-rsm-artificial-neural-netw
MLA“Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-of-sugarcane-bagasse-conversion-to-levulinic-acid-using-response-surface-methodology-rsm-artificial-neural-netw.
BibTeX@misc{4ortxyz_modeling-of-sugarcane-bagasse-conversion-to-levulinic-acid-using-response-surface-methodology-rsm-artificial-neural-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-of-sugarcane-bagasse-conversion-to-levulinic-acid-using-response-surface-methodology-rsm-artificial-neural-netw}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system (FIS): A comparative evaluation — https://4ort.xyz/entity/modeling-of-sugarcane-bagasse-conversion-to-levulinic-acid-using-response-surface-methodology-rsm-artificial-neural-netw (retrieved 2026-05-24)
