Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques

Research article (Cleaner Engineering and Technology, 2021) · cited 16× · AI/ML
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Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques

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Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-hybrid-anfis-based-non-linear-regression-modeling-to-predict-the-oil-yield-from-grape-peels-effect-of-pro
MLA “Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-hybrid-anfis-based-non-linear-regression-modeling-to-predict-the-oil-yield-from-grape-peels-effect-of-pro.
BibTeX @misc{4ortxyz_application-of-hybrid-anfis-based-non-linear-regression-modeling-to-predict-the-oil-yield-from-grape-peels-effect-of-pro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-hybrid-anfis-based-non-linear-regression-modeling-to-predict-the-oil-yield-from-grape-peels-effect-of-pro}, note = {Accessed: 2026-05-24}}
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