Prediction of the Deformation of the Surrounding Rock around Tunnels by GA-Bp Network Model

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GA-Bp network model was proposed. GA was used to optimize the initial real values population of Bp network, and optimizing crossover fraction was fulfilled. In addition, the modified GA-Bp was applied to predict the deformation of the surrounding rock around tunnels.

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1157-1160

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Stuart, N. Peter: Artificial Intelligence A Modern Approach. (1969), p.578.

Google Scholar

[2] E.B. Arthur, H. Yu-Chi, in: Applied optimal control: optimization, estimation, and control, Blaisdell Publishing Company or Xerox College Publishing (1969) .

Google Scholar

[3] J.W. Paul, in: Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences, Harvard University (1974).

Google Scholar

[4] E. Alpaydın, in: Introduction to machine learning (2nd ed. ed.) , Cambridge, Mass. MIT Press (2010).

Google Scholar

[5] D.E. Rumelhart, G.E. Hinton, R.J. Williams: Nature Vol.323 (1986), p.533–536.

Google Scholar

[6] Q.S. Zhang, S.K. Fan: Lecture Notes in Computer Science, Vol.3173 (2004), pp.323-331.

Google Scholar

[7] L. Shen, K.J. Wu: Machine Design and Research, Vol.20 (2004), pp.10-13 (In Chinese).

Google Scholar

[8] S.W. Luo: Journal of northern jiaotong university, Vol.19 (1995), pp.541-543 (In Chinese).

Google Scholar

[9] T.H. Li, S.W. Luo: Journal of northern jiaotong university, Vol.19 (1995), pp.528-532 (In Chinese).

Google Scholar

[10] Y.F. Zhai, H.Y. Li, H.B. Liu, X.M. Yuan: Journal of Jilin University of Technology (Natural Science Edition), Vol.33 (2003), pp.45-50 (In Chinese).

Google Scholar

[11] Y.H. Zhu: Machine Tool & Hydraulics, Vol.11 (2004), pp.165-166 (In Chinese).

Google Scholar

[12] S.G. Zhou, Z.X. Li: Ordnance Industry Automation, Vol.23 (2004), pp.48-49 (In Chinese).

Google Scholar