Paper Title:
Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network
  Abstract

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
Chapter
Chapter 7: Frontiers of Computer Applicated in Building
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, 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
$32.00
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