Primary classification on drillability of frozen soil using neural networks  

作　　者：方江华 张志红 马芹永 

机构地区：[1]Department of Civil Engineering [2]School of Civil Engineering and Architecture

出　　处：《Journal of Coal Science & Engineering(China)》2003年第2期17-20,共4页煤炭学报（英文版）

摘　　要：Through analysis on drillability of frozen soil, it is concluded that the main factors affecting the drillability of frozen soil are temperature, wave velocity, impact inductility and chiseling specific work. Based on the foundation it is discussed that applying the neural networks method to classify the drillability of frozen soil is simple and feasible, and the inputted vectors quantity of networks don’t be restricted, which make the classification on drillability of frozen soil rather well match the objective practice.Through analysis on drillability of frozen soil, it is concluded that the main factors affecting the drillability of frozen soil are temperature, wave velocity, impact inductility and chiseling specific work. Based on the foundation it is discussed that applying the neural networks method to classify the drillability of frozen soil is simple and feasible, and the inputted vectors quantity of networks don't be restricted, which make the classification on drillability of frozen soil rather well match the objective practice.

关 键 词：artificial neural networks frozen soil DRILLABILITY CLASSIFICATION 

分 类 号：P642.14[天文地球—工程地质学]