Neural network processing of microbial fuel cell signals for the identification of chemicals present in water

Journal of Environmental Management

Volumn 120, Issue , 2013, Pages 84-92

  Feng, Yinghua ^a   Barr, William ^b   Harper, W F ^c  

^a University of Pittsburgh   (United States)

^b Arizona State University   (United States)

^c AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Artificial neural networks; Biosensors; Microbial fuel cells; Signal processing; Water quality

Indexed keywords

ACETIC ACID; BUTYRIC ACID; GLUCOSE; STARCH;

ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL CONDITIONS; FERMENTATION; FUEL CELL; GLUCOSE; IDENTIFICATION METHOD; MONITORING; STARCH; SUBSTRATE; WATER QUALITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOSENSOR; EXPERIMENTATION; INTRACELLULAR SIGNALING; MICROBIAL FUEL CELL; SENSITIVITY ANALYSIS; WATER CONTENT; WATER QUALITY; WATER SAMPLING;

EID: 84875259256     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2013.01.018     Document Type: Article

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