Neural network simulation of the chemical oxygen demand reduction in a biological activated-carbon filter

Journal of the Chartered Institution of Water and Environmental Management

Volumn 16, Issue 1, 2002, Pages 58-64

  Mohanty, S ^a   Scholz, M ^b   Slater, M J ^b  

^a CSIR INSTITUTE OF MINERALS AND MATERIALS TECHNOLOGY   (India)

^b UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Biological activated carbon; Chemical oxygen demand; Dissolved oxygen; Neural network; pH; Water treatment

Indexed keywords

ACTIVATED CARBON; BIOFILTERS; CHEMICAL OXYGEN DEMAND; DATABASE SYSTEMS; NEURAL NETWORKS; PH EFFECTS; POLYNOMIALS; REGRESSION ANALYSIS;

ACTIVATED CARBON FILTERS;

WASTEWATER TREATMENT;

CARBON; DISSOLVED OXYGEN; OXYGEN; RIVER WATER;

ACTIVATED CARBON; BIOFILTER; CHEMICAL OXYGEN DEMAND; NEURAL NETWORK; WATER QUALITY; WATER TREATMENT;

ALGA; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM; CHEMICAL OXYGEN DEMAND; COMPUTER SIMULATION; CONTROLLED STUDY; DATA BASE; FILTER; FUNGUS; MODEL; PH; PRIORITY JOURNAL; PROTOZOON; REGRESSION ANALYSIS; ROTIFERA; WASTE WATER MANAGEMENT; WATER QUALITY; WATER TREATMENT; WORM;

ALGAE; BACTERIA (MICROORGANISMS); FUNGI; PROTOZOA; ROTIFERA;

EID: 0036210035     PISSN: 13604015     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-6593.2002.tb00369.x     Document Type: Article

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