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The Study of Rock Tunnel Stability Based on Extension Neural Network

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7751))

Abstract

The study of surrounding rock stability is always an important subject in the field of tunnel engineering research. After comprehensively analyzed the factors of tunnel surrounding rock stability, combined the strong nonlinear mapping capability of artificial neural network with the compatibility and development ability of extension theory, putting forward a method of forecasting surrounding rock’s stability based on the extension neural network.

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© 2013 Springer-Verlag Berlin Heidelberg

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Long, X., Zhang, B., Ye, W. (2013). The Study of Rock Tunnel Stability Based on Extension Neural Network. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_17

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  • DOI: https://doi.org/10.1007/978-3-642-36669-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36668-0

  • Online ISBN: 978-3-642-36669-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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