Comparison between linear genetic programming and M5 tree models to predict flow discharge in compound channels

Neural Computing and Applications

Volumn 24, Issue 2, 2014, Pages 413-420

  Zahiri, A ^a   Azamathulla, H Md ^b  

^a GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   (Iran)

^b RIVER ENGINEERING AND URBAN DRAINAGE RESEARCH CENTRE REDAC   (Malaysia)

Author keywords

Compound channels; Linear genetic programming; M5 tree decision model; Stage discharge curve

Indexed keywords

DIFFERENTIAL EQUATIONS; FLOWMETERS; FORESTRY; GENETIC ALGORITHMS; NUMERICAL METHODS; STREAM FLOW;

COMPOUND CHANNEL; DECISION MODELING; HYDRAULIC CONDITIONS; HYDRAULIC ENGINEERS; LINEAR GENETIC PROGRAMMING; NUMERICAL SOLUTION OF DIFFERENTIAL EQUATIONS; STAGE-DISCHARGE; STEADY UNIFORM FLOWS;

GENETIC PROGRAMMING;

ALGORITHMS; COMPUTER PROGRAMING; DECISION MAKING; DIFFERENTIAL EQUATIONS; FLOW METERS; STREAM FLOW;

EID: 84892843784     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1247-0     Document Type: Article

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