Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain

Water Research

Volumn 32, Issue 3, 1998, Pages 613-622

  Walley, W J ^a   Fontama, V N ^a  

^a STAFFORDSHIRE UNIVERSITY   (United Kingdom)

Author keywords

Artificial intelligence; ASPT; Biological monitoring; BMWP; Neural networks; River pollution; RIVPACS; Water quality

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOLOGICAL WATER TREATMENT; GEOGRAPHICAL REGIONS; MONITORING; RIVER POLLUTION; RIVERS; WATER QUALITY;

BIOLOGICAL MONITORING; GREAT BRITAIN; UNPOLLUTED RIVER SITES;

NEURAL NETWORKS;

BIOMONITORING; NEURAL NETWORK; RIVER WATER QUALITY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIODIVERSITY; BIOLOGICAL MONITORING; PREDICTION; PRIORITY JOURNAL; UNITED KINGDOM; WATER POLLUTION; WATER QUALITY;

UK;

EID: 0032030554     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1354(97)00274-1     Document Type: Article

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