摘要
采用BP神经网络对矿井本质安全程度进行评价。介绍了矿井本质安全程度评价方法以及BP神经网络的结构及原理;按照BP神经网络训练的步骤,以matlab6.0为平台,利用其内嵌的神经网络工具箱,生成通用的神经网络评价模型;输入经过标准化后的矿井本质安全程度指标的评价分数,投入神经网络运算,就可以得出该矿井的本质安全程度。
BP neural network was applied to take evaluation on intrinsieal safety degree in mine. The evaluating method of intrinsical safety degree in mine and the structure and theory of BP neural network were introduced; in the light of steps of BP neural network, internal tool boxes of neural network based on matlab6.0 were used, and thus universal evaluating model of neural network was built. The evaluating points of indexes of intrinsical safety degree in mine were input after the standardization, and ploughed into the network to calculate, then the intrinsical safety degree of the mine could be obtained.
出处
《中国安全生产科学技术》
CAS
北大核心
2009年第5期102-105,共4页
Journal of Safety Science and Technology
