Cumincad : CUMINCAD Papers : Paper a015:Data mining for tunnel support stability: neural network approach

authors	Leu, S.-S., Chen, C.-N. and Chang, S.-L.
year	2001
title	Data mining for tunnel support stability: neural network approach
source	Automation in Construction 10 (4) (2001) pp. 429-441
summary	This paper presents a data mining approach to the prediction of tunnel support stability using artificial neural networks (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.
series	journal paper
more	http://www.elsevier.com/locate/autcon
references	Content-type: text/plain
last changed	2003/05/15 21:22