案例類比法應用於台灣隧道支撐工設計建議

Abstract
Figure/Table
References (7)
Related Citation (15)

Download: PDF (835 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract 120 cases of tunnel design in Taiwan in the past 20 years are collected to establish a design database for tunnel support. The database is analyzed by algorithms of artificial intelligence technologies such as case-based reasoning (CBR) and artificial neural network (ANN). The results show that，with carefully-selected case histories and adequate method for data mining，rational designs of tunnel support can be obtained by finding the most similar case or cases in the database. The database based on only tunnels in the jointed rock mass is studied.

Key words： tunneling engineering case-based reasoning artificial neural network tunnel support

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

URL:

https://rockmech.whrsm.ac.cn/EN/Y2004/V23/IS2/4840