Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis

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Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis

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Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis is a scholarly article[1].

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  • Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-neural-fuzzy-model-combined-with-simulated-annealing-algorithm-to-predict-optimal-conditions-for-polyet
MLA “Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-neural-fuzzy-model-combined-with-simulated-annealing-algorithm-to-predict-optimal-conditions-for-polyet.
BibTeX @misc{4ortxyz_application-of-a-neural-fuzzy-model-combined-with-simulated-annealing-algorithm-to-predict-optimal-conditions-for-polyet_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a neural fuzzy model combined with simulated annealing algorithm to predict optimal conditions for polyethylene waste non-isothermal pyrolysis}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-neural-fuzzy-model-combined-with-simulated-annealing-algorithm-to-predict-optimal-conditions-for-polyet}, note = {Accessed: 2026-05-24}}
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