Record Details

Prediction of p-wave velocity and anisotropic property of rock using artificial neural network technique

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Prediction of p-wave velocity and anisotropic property of rock using artificial neural network technique
 
Creator SINGH, TN
KANCHAN, R
SAIGAL, K
VERMA, AK
 
Subject p-wave velocity
anisotropic property
rocks
artificial neural network technique
 
Description Physico-mechanical properties of rocks are significant in all operational parts in mining activities, starting from exploration to final dispatch of material. Compressional wave velocity (p-wave velocity) and an isotropic behaviour of the rocks are t properties for understanding the rock response behaviour under stress conditions. They also influence the breakage mechanism of rock. There are some known methods to determine the p-wave velocity and anisotropy in in situ as well as in the laboratory. These methods are cumbersome and time consuming. In the present investigation, artificial neural network (ANN) technique is used for the prediction of p-wave velocity and anisotropy, taking chemical composition and other physico-mechanical properties of rocks as input parameters. Cross-validation technique termed as leaving-one-out is used, as the numbers of data sets are limited in number. Network with six input neurons, one hidden layer with five neurons, and two output neurons is designed for sandstone. Similar network for marble with four hidden neurons is also designed. To deal with I C 1 the problem of overfilling of data, Bayesian regulation is used and network is trained with 1500 training epochs. The I c coefficients of correlation among the predicted and observed values are high and encouraging and mean absolute percentage error (MAPE) obtained are very low.
 
Publisher NATL INST SCIENCE COMMUNICATION
 
Date 2011-08-19T06:12:46Z
2011-12-26T12:56:06Z
2011-12-27T05:44:15Z
2011-08-19T06:12:46Z
2011-12-26T12:56:06Z
2011-12-27T05:44:15Z
2004
 
Type Article
 
Identifier JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 63(1), 32-38
0022-4456
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10252
http://hdl.handle.net/10054/10252
 
Language en