Use of model tree and gene expression programming to predict the suspended sediment Load in rivers

Journal of Intelligent Systems

Volumn 18, Issue 3, 2009, Pages 211-227

  Janga Reddy, M ^a   Ghimire, Bhola N S ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Multiple linear regression; Riverflow; Sediment rating curve

Indexed keywords

CONVENTIONAL METHODS; DEVELOPED MODEL; GENE EXPRESSION PROGRAMMING; GENETIC OPERATORS; M5 MODEL TREE; MACHINE LEARNING TECHNIQUES; MODEL RESULTS; MODEL TREES; MULTIPLE LINEAR REGRESSIONS; NUMERIC VALUES; RIVER DISCHARGE; SEDIMENT RATING CURVES; SUSPENDED SEDIMENT LOADS;

BIOACTIVITY; DECISION TREES; GENE EXPRESSION; GENETIC PROGRAMMING; LEARNING ALGORITHMS; RIVERS; SEDIMENTOLOGY; TELLURIC PROSPECTING;

LINEAR REGRESSION;

EID: 71549155647     PISSN: 03341860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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