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K Saigal
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Volume 114 Issue 1 February 2005 pp 75-86
A comparative study of ANN and Neuro-fuzzy for the prediction of dynamic constant of rockmass
T N Singh R Kanchan A K Verma K Saigal
Physico-mechanical properties of rocks have great significance in all operational parts in mining activities, from exploration to final dispatch of material. Compressional wave velocity (
p -wave velocity) and anisotropic behaviour of rocks are two such properties which help to understand the rock response under varying stress conditions. They also influence the breakage mechanism of rock. There are different methods to determine thep -wave velocity and anisotropyin situ and in the laboratory. These methods are cumbersome and time consuming. Fuzzy set theory, Fuzzy logic and Neural Networks techniques seem very well suited for typical geotechnical problems. In conjunction with statistics and conventional mathematical methods, hybrid methods can be developed that may prove to be a step forward in modeling geotechnical problems. Here, we have developed and compared two different models, Neuro-fuzzy systems (combination of fuzzy and artificial neural network systems) and Artificial neural network systems, for the prediction of compressional wave velocity. -
Volume 117 Issue 6 December 2008 pp 975-977
T N Singh R Kanchan A K Verma K Saigal
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Journal of Earth System Science
Volume 132, 2023
All articles
Continuous Article Publishing mode
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Journal of Earth System Science | News
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Editorial Note on Continuous Article Publication
Posted on July 25, 2019Click here for Editorial Note on CAP Mode
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Special Issue - "Call for papers"
Posted on July 18, 2023
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