𝔖 Bobbio Scriptorium
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Data mining for tunnel support stability: neural network approach

✍ Scribed by Sou-Sen Leu; Chee-Nan Chen; Shiu-Lin Chang

Book ID
104358616
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
485 KB
Volume
10
Category
Article
ISSN
0926-5805

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✦ Synopsis

This paper presents a data mining approach to the prediction of tunnel support stability using artificial neural networks Ε½ . ANN . The case data of a railway tunnel recently finished in Taiwan were used to establish the model. The main rock type was sedimentary rock. Rock mechanical and construction-related parameters with significant influences on support stability were filtered to train and test the ANN. Validation was also performed to show that the ANN outperformed the discriminant analysis and the multiple non-linear regression method in predicting tunnel support stability status.

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