Detection of conceptual model rainfall-runoff processes inside an artificial neural network

Hydrological Sciences Journal

Volumn 48, Issue 2, 2003, Pages 163-181

  Wilby, R L ^a   Abrahart, R J ^b   Dawson, C W ^c  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural network; Emulation; England; Hidden node; River Test; Runoff

Indexed keywords

CORRELATION METHODS; DISCHARGE (FLUID MECHANICS); GROUNDWATER; NEURAL NETWORKS; RIVERS; RUNOFF; SOILS;

WATER BALANCE;

RAIN;

ARTIFICIAL NEURAL NETWORK; BASEFLOW; RAINFALL-RUNOFF MODELING; SOIL WATER; WATER BUDGET;

UNITED KINGDOM;

EID: 0037388711     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.48.2.163.44699     Document Type: Article

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