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Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)
Research article (Energy, 2022) · cited 107× · AI/ML
Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)
Summary
Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME) is a scholarly article[1].
Key Facts
Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)'s instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME). Retrieved May 24, 2026, from https://4ort.xyz/entity/optimisation-and-performance-evaluation-of-response-surface-methodology-rsm-artificial-neural-network-ann-and-adaptive-n
MLA“Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimisation-and-performance-evaluation-of-response-surface-methodology-rsm-artificial-neural-network-ann-and-adaptive-n.
BibTeX@misc{4ortxyz_optimisation-and-performance-evaluation-of-response-surface-methodology-rsm-artificial-neural-network-ann-and-adaptive-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)}}, year = {2026}, url = {https://4ort.xyz/entity/optimisation-and-performance-evaluation-of-response-surface-methodology-rsm-artificial-neural-network-ann-and-adaptive-n}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME) — https://4ort.xyz/entity/optimisation-and-performance-evaluation-of-response-surface-methodology-rsm-artificial-neural-network-ann-and-adaptive-n (retrieved 2026-05-24)