|
2017, Vol. 36(1): 293-298 DOI: 10.3969/j.issn.1004-5589.2017.01.029 | ||
Fracture property identification based on Artificial Fish-Swarm Algorithm and Pearson correlation coefficients | ||
LIU Ting1, TIAN You1, ZHU Hong-xiang1, ZHOU Chao2, QIAO Han-qing1 | ||
1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China; 2. China Railway Eryuan Engineering Group CO. LTD, Chengdu 610031, China |
||
Received 2016-07-08 Revised 2016-09-03 | ||
Supporting info | ||
|