Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming
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- 作者：S. Alemdaga ; selcukalemdag@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Z. Gurocakb ; zgurocak@gmail.com" class="auth_mail" title="E-mail the corresponding author ; A. Cevikc ; akcevik@gantep.edu.tr" class="auth_mail" title="E-mail the corresponding author ; A.F. Cabalarc ; cabalar@gantep.edu.tr" class="auth_mail" title="E-mail the corresponding author ; C. Gokceoglud ; cgokce@hacettepe.edu.tr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Deformation modulus ; Rock mass ; Neural network ; Neuro fuzzy ; Genetic programming
- 刊名：Engineering Geology
- 出版年：2016
- 出版时间：25 March 2016
- 年：2016
- 卷：203
- 期：Complete
- 页码：70-82
- 全文大小：1988 K
文摘
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Engineers prefer to determine deformation modulus of rock mass (Em) indirectly.
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Estimating the Em using new techniques will help us obtain more realistic Em values.
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It is aimed to obtain indirectly more realistic and reliable Em values in this paper.
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Artificial neural network, neuro fuzzy and genetic programming methods were used.
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The performance of expressions obtained from methods used are quite satisfactory.
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