关键词: 前馈神经网络, 遗传算法, 评估, 围岩, 自稳能力, 指挥防护工程

Abstract: Command protection engineering is the important component of national protection engineering system. To raise the level of construction of command protection engineering, the Back Propagation (BP) neural network was improved to give research on self-stability evaluation of its surrounding rock. Firstly, the network topology was devised，based on the characteristics of surrounding rock. Secondly, the model was improved according to its disadvantages, by introducing the momentum, self-adaptive adjusting learn rate, variable hidden nodes and steep factor; furthermore, Genetic Algorithm(GA) was imported to seek its best initial weight and threshold value. Finally, an instance was given to validate the algorithm. The results show that the model is scientifically reliable and of better value in engineering.

Key words: Back Propagation (BP) neural network, Genetic Algorithm (GA), evaluation, surrounding rock, self-stability, command protection engineering