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3-D Modeling of groundwater table using artificial neural network- case study of Babol

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Title 3-D Modeling of groundwater table using artificial neural network- case study of Babol
 
Creator Choobbasti, A.J.
Shooshpasha, E.
Farrokhzad, F.
 
Subject Groundwater table
Artificial neural network
3-D modeling
Babol
 
Description 903-906
In present study the
artificial neural network is
used as a non-linear statistical data modeling tool for
assessing the 3-D model of soil's saturated depth and prediction of ground
water table in study area. Based on the obtained results, it can be stated that
the trained neural network is capable in 3-D modeling of groundwater table with
an acceptable level of confidence and it should be added that the mentioned
artificial neural network (ANN) is useful to model complex relationships
between input and outputs or to find patterns in data for prediction of ground
water table in study area.
 
Date 2013-12-13T12:48:40Z
2013-12-13T12:48:40Z
2013-11
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/24815
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.42(7) [November 2013]