Abstract
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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
Submitted: May 08, 2012
Accepted: May 29, 2012
Published: January 11, 2013 |
Abstract:
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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.
Key words: Fuzzy theory, neural network, soil slope, stability, , ,
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Abstract
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Cite this Reference:
Lianguang Mo and Zheng Xie, . Analysis on the Stability of Reservoir Soil Slope Based on Fuzzy Artificial Neural Network. Research Journal of Applied Sciences, Engineering and Technology, (02): 465-469.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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