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Intelligent Decision Support System of Tunnel Surrounding Rock Classification Based on the .NET framework

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2 Author(s)
Dong Chen ; Sch. of Power & Mech. Eng., Wuhan Univ., WHU, Wuhan, China ; Ying Wang

In order to ensure the safety of tunnel excavation, it is important to classify the tunnel surrounding rock. In view of the insufficiency of artificial forecast as well as the tradition expert system about the classification of tunnel surrounding rock, this article proposes a intelligent decision support system (IDSS) with 3-layer B/S architecture based on. NET framework. This article analyses the overall structure of Web-based IDSS, the implementation of its core components, as well as the method of using fuzzy artificial neural network to diagnose tunnel surrounding rock. Moreover, a development environment and method was discussed. Experimental results have indicated that the accuracy of our system was 90%. Therefore, the system is applicable for practical implementation.

Published in:

2009 First International Conference on Information Science and Engineering

Date of Conference:

26-28 Dec. 2009