Study on genetic-neural network method of displacement in big cavern during excavation
SUN Huo-ran
WANG Shu-hong
GONG Yong-jun
ZHUANG Shi-yong
Abstract：The displacements and its movements is very important and easy to get in the site, analysising the problem in applying contraction ways to study the construction sequence for big cavern and instability. On the basis of the observed, a new genetic-neural network method for displacement in big cavern is proposed to forecast the moving displacements, a GA-NN for the displacement is introuduced, its example is given, and the results are satisfactory. This method is good in precast precision, used widely, convienient.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 45-48 )