Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network

Abstract:

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Seeing that there are a lot of uncertain and fuzzy factors in the deformation control system of excavation, in this paper, the author combined the fuzzy theory with neural network technology, adopted the ordinary non-linear structure as the fuzzy neural network of neural network structure formed of neuron directly, and it is under the degree fuzzy number which inputs and export the information to import the corresponding network. Thus according to fuzzy neural network, displacement prediction model has been set up.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

3992-3995

DOI:

10.4028/www.scientific.net/AMM.71-78.3992

Citation:

X. Chen and X. F. Zhou, "Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network", Applied Mechanics and Materials, Vols. 71-78, pp. 3992-3995, 2011

Online since:

July 2011

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Price:

$35.00

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