Utilizing partial least square and support vector machine for TBM penetration rate prediction in hard rock conditions

Author:

Gao Li,Li Xi-bing

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Reference22 articles.

1. YAGIZ S, GOKCEOGLU C, SEZER E, IPLIKCI S. Application of two non-linear prediction tools to the estimation of tunnel boring machine performance [J]. Engineering Applications of Artificial Intelligence, 2009, 22: 818–824.

2. MANSOURI M, MOOMIVAND H. Influence of rock mass properties on TBM penetration rate in Karaj-Tehran water conveyance tunnel [J]. Journal of Geology and Mining Research, 2010, 2(5): 114–121.

3. LI X B, SUMMERS D A, RUPERT G, SANTI P. Experimental investigation on the breakage of hard rock by the PDC cutters with combined action modes [J]. Tunnelling and Underground Space Technology, 2001, 16(2): 107–114.

4. LI Xi-bing, ZHAO Fu-jun, SUMMERS D A, RUPERT G. Cutting capacity of PDC cutters in very hard rock [J]. Transactions of Nonferrous Metals Society of China, 2002, 12(2): 305–310.

5. GRAHAM P C. Rock exploration for machine manufactures [C]// Symposium on Exploration for Rock Engineering. Johannesburg, Balkema, 1976: 80–173.

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