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    Abstract
2013 (Vol. 5, Issue: 02)
Article Information:

Analysis on the Stability of Reservoir Soil Slope Based on Fuzzy Artificial Neural Network

Lianguang Mo and Zheng Xie
Corresponding Author:  Lianguang Mo 

Key words:  Fuzzy theory, neural network, soil slope, stability, , ,
Vol. 5 , (02): 465-469
Submitted Accepted Published
May 08, 2012 May 29, 2012 January 11, 2013
Abstract:

Owing to the fact that the relation between the reservoir soil slope stability and its influencing factors is complicated and fuzzy, a method-fuzzy neural network to analyze the reservoir soil slope stability is proposed. The method infuses fuzzy reasoning process into the structure of neural network, makes the physical meaning of neuron and weight of neural network clear, reduces the process of regulation match, raises the speed of reasoning and improves greatly the self-adaption capacity of the system. In the end, the fuzzy neural network model is trained and tested by the collected 21 cases of soil slope data samples. The result proves that the fuzzy neural network is a valid method, which has significant advantages over general BP neural network model in analyzing effectiveness and quality.
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  Cite this Reference:
Lianguang Mo and Zheng Xie, 2013. Analysis on the Stability of Reservoir Soil Slope Based on Fuzzy Artificial Neural Network.  Research Journal of Applied Sciences, Engineering and Technology, 5(02): 465-469.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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