Selecting the most relevant variables for anaerobic digestion imbalances: Two case studies

Water Environment Research

Volumn 82, Issue 6, 2010, Pages 492-498

  Dalmau, Jordi ^a   Comas, Joaquim ^a   Rodríguez Roda, Ignasi ^a   Latrille, Eric ^b   Steyer, Jean Philippe ^b  

^a UNIVERSITY OF GIRONA   (Spain)

^b LABORATOIRE DE BIOTECHNOLOGIE DE L ENVIRONNEMENT   (France)

Author keywords

Acidogenic states; Anaerobic digestion; Feature selection; Foaming; Neural networks

Indexed keywords

CARBON; DEEP NEURAL NETWORKS; FATTY ACIDS; FEATURE EXTRACTION; NEURAL NETWORKS; ORGANIC CARBON; PILOT PLANTS; RUNWAY FOAMING; VOLATILE FATTY ACIDS;

ACIDOGENIC; CASE-STUDIES; FEATURE SELECTION METHODS; FEED LOADING; FIXED-BED DIGESTER; INPUT AND OUTPUTS; TOTAL ORGANIC CARBON; WRAPPER APPROACH;

ANAEROBIC DIGESTION;

VOLATILE FATTY ACID;

ANOXIC CONDITIONS; ARTIFICIAL NEURAL NETWORK; DIGESTIBILITY; FATTY ACID; INFLOW; TOTAL ORGANIC CARBON;

ANAEROBIC DIGESTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; FOAMING; PH MEASUREMENT; PRIORITY JOURNAL; TOTAL ORGANIC CARBON; ANAEROBIC GROWTH; BIOREACTOR; COMPUTER SIMULATION; INSTRUMENTATION; METHODOLOGY; PH; SEWAGE; THEORETICAL MODEL;

ANAEROBIOSIS; BIOREACTORS; COMPUTER SIMULATION; HYDROGEN-ION CONCENTRATION; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); WASTE DISPOSAL, FLUID;

EID: 77954672460     PISSN: 10614303     EISSN: 15547531     Source Type: Journal    
DOI: 10.2175/106143009X12529484815359     Document Type: Article

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