Primary classification on drillability of frozen soil using neural networks

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.