Classification of frozen soil blastability by using perceptron neural network

• 来源期刊: 煤炭学报（英文版）
• 学科: 工学
• 年，卷（期）: 2002,（1）
• 页码范围: 54-58
• 页数: 5页
• 分类号: TP18
• 语种: 英文

摘要

Influence factors of frozen soil blastability are analyzed which mainly conclude the strain energy coefficient, tensile strength, compressive strength, longitudinal wave velocity and transverse wave velocity. According to the principle of perceptron neural network, at first the index factors are standardized by the aid of the efficient function theory, then the blastability of frozen sand at -7, -12 and -17 ℃ are classified three categories. Through adjusting the weight value and threshold value, we can obtain that the clay blastability at -7 ℃ is close to the sand blastability at -12 ℃, they belong to the second category, the clay blastability at -12 ℃ is close to the sand blastability at -17 ℃, thus they are divided into the third category.