Genetic Programming Algorithm in Experimental Data Analysis of Rock Mechanics
In order to show the relationship between each correlative parameter of experimental data more accurately, the genetic programming algorithm about simulating evolutionary processes of organisms was provided to analyze the relationship between acoustic velocity and its relevant mechanics parameters for the 3rd coal of Xinhe Mine. The optimal functional relations between acoustic velocity, uniaxial compressive strength and elastic modulus were obtained. Studies indicate that the genetic programming algorithm can implement a real discovery of law, the optimum model and parameter selection that the experimental data of rock mechanics satisfy can be acquired simultaneously without a model form of scheduled function in advance.
genetic programming experiment of rock mechanics optimal function parameter
ZHAO Tongbin TAN Yunliang XIAO Yaxun YANG Yongjie
College of Resource and Environment Engineering, Shandong University of Science and Technology, Qing College of Resource and Environment Engineering, Shandong University of Science and Technology, Qing
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
410-415
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）