Research on Prediction of Excavation Deformation Based on Fuzzy Neural Network

被引：0

作者：

Chen, Xiang ^{[1
]}

Zhou, Xuefeng ^{[1
]}

机构：

[1] Xian Technol Univ, Sch Civil Engn, Xian, Peoples R China

来源：

FRONTIERS OF GREEN BUILDING, MATERIALS AND CIVIL ENGINEERING, PTS 1-8 | 2011年 / 71-78卷

关键词：

Deep excavation; Deformation control; Fuzzy control; Neural network; Membership;

D O I：

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

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：3992 / 3995

页数：4