Developing an expert system for predicting alluvial channel geometry using ANN

Expert Systems with Applications

Volumn 38, Issue 1, 2011, Pages 215-222

  Riahi Madvar, Hossien ^a,b   Ayyoubzadeh, Seyed Ali ^a   Atani, Mina Gholizadeh ^c  

^a TARBIAT MODARES UNIVERSITY   (Iran)

^b VALI E ASR UNIVERSITY OF RAFSANJAN   (Iran)

^c International University of Qazvin   (Iran)

Author keywords

Alluvial channel; Artificial neural network (ANN); Dynamic equilibrium; Expert system; Regime theory

Indexed keywords

ALLUVIAL CHANNELS; ALLUVIAL RIVER; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CHANNEL GEOMETRY; CROSS-SECTION GEOMETRY; DYNAMIC EQUILIBRIUM; EMPIRICAL EQUATIONS; GEOMETRICAL PARAMETERS; MULTI LAYER PERCEPTRON; NEW APPROACHES; NEW MODEL; PHYSICAL PROCESS; RATIONAL EQUATIONS; REGIME THEORIES; SIMULATION MODEL; TRAINING AND TESTING; TRAINING DATA; WATER CONVEYANCE;

BACKPROPAGATION ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; EXPERT SYSTEMS;

NEURAL NETWORKS;

EID: 77956618329     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.06.047     Document Type: Article

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