Record Details

Soft computing tools in rainfall-runoff modeling

DSpace at IIT Bombay

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Field Value
 
Title Soft computing tools in rainfall-runoff modeling
 
Creator Jothiprakash, V
Magar, R
 
Subject Rainfall-runoff process
soft computing techniques
artificial neural network
genetic programming
adaptive neuro fuzzy inferene system
 
Description The use of rainfall-runoff models in the decision making process of water resources planning and management has become increasingly indispensable. Rainfall-runoff modeling in the broad sense started at the end of 19th century and till today there are various types of models based on their mechanism, input data and other modeling requirements. These type of models range from physical, conceptual, empirical models and more sophisticated models like Artificial Neural Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS), Genetic Programming (GP), Model Tree (MT), Support Vector Machine (SVM) and recently Chaos theory. The primary aim of this paper is to review the recent works on Rainfall-Runoff modeling using soft computing techniques.
 
Publisher Indian Society for Hydraulics
 
Date 2012-09-12T11:01:30Z
2012-09-12T11:01:30Z
2009
 
Type Article
 
Identifier ISH Journal of Hydraulic Engineering, 15(SP1) 84-96
2164-3040
http://dspace.library.iitb.ac.in/jspui/handle/100/14400
 
Language English