Displacement prediction of tunnel surrounding rock: A comparison of support vector machine and artificial neural network

28Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Displacement prediction of tunnel surrounding rock plays an important role in safety monitoring and quality control tunnel construction. In this paper, two methodologies, support vector machines (SVM) and artificial neural network (ANN), are introduced to predict tunnel surrounding rock displacement. Then the two modes are texted with the data of Fangtianchong tunnel, respectively. The comparative results show that solutions gained by SVM seem to be more robust with a smaller standard error compared to ANN. Generally, the comparison between artificial neural network (ANN) and SVM shows that SVM has a higher accuracy prediction than ANN. Results also show that SVM seems to be a powerful tool for tunnel surrounding rock displacement prediction.

References Powered by Scopus

Practical selection of SVM parameters and noise estimation for SVM regression

1889Citations
N/AReaders
Get full text

Natural oxidation of black carbon in soils: Changes in molecular form and surface charge along a climosequence

795Citations
N/AReaders
Get full text

Bus arrival time prediction using support vector machines

237Citations
N/AReaders
Get full text

Cited by Powered by Scopus

State-of-the-art review of soft computing applications in underground excavations

409Citations
N/AReaders
Get full text

State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction

101Citations
N/AReaders
Get full text

Prediction of Soil Deformation in Tunnelling Using Artificial Neural Networks

96Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Wu, Q., Yan, B., Zhang, C., Wang, L., Ning, G., & Yu, B. (2014). Displacement prediction of tunnel surrounding rock: A comparison of support vector machine and artificial neural network. Mathematical Problems in Engineering, 2014. https://doi.org/10.1155/2014/351496

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 10

71%

Researcher 4

29%

Readers' Discipline

Tooltip

Engineering 9

75%

Computer Science 2

17%

Environmental Science 1

8%

Save time finding and organizing research with Mendeley

Sign up for free