Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell

Research article (Journal of the Taiwan Institute of Chemical Engineers, 2015) · cited 50× · AI/ML
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Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell

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Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell. Retrieved May 24, 2026, from https://4ort.xyz/entity/neural-network-and-neuro-fuzzy-modeling-to-investigate-the-power-density-and-columbic-efficiency-of-microbial-fuel-cell
MLA “Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neural-network-and-neuro-fuzzy-modeling-to-investigate-the-power-density-and-columbic-efficiency-of-microbial-fuel-cell.
BibTeX @misc{4ortxyz_neural-network-and-neuro-fuzzy-modeling-to-investigate-the-power-density-and-columbic-efficiency-of-microbial-fuel-cell_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell}}, year = {2026}, url = {https://4ort.xyz/entity/neural-network-and-neuro-fuzzy-modeling-to-investigate-the-power-density-and-columbic-efficiency-of-microbial-fuel-cell}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell — https://4ort.xyz/entity/neural-network-and-neuro-fuzzy-modeling-to-investigate-the-power-density-and-columbic-efficiency-of-microbial-fuel-cell (retrieved 2026-05-24)

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