基于神经网络理论的炼钢企业安全评价研究

Safety Assessment of Steel Works Based on Neural Network

介绍了神经网络的基本原理,对反向传播算法神经网络(Back Propagation Algorithm Neural Network,简称BP神经网络)模型结构和模型基本算法进行了研究,并在此基础上针对炼钢企业建立了基于神经网络理论的安全评价模型。通过将神经网络理论的安全评价方法与传统安全评价方法比较,说明了基于神经网络理论的炼钢企业安全评价方法是可行的。

It is introduced that theory of the neural network, analysis the model and the fundamental algorithm of the Back Propagation Algorithm Neural Network（BP neural network）in this paper. A safety assessment model on steel work is established based on the neural network. And comparing to the differences between the safety assessment based on the neural network and the traditional methods. Finally, the result of the comparison proves the feasibility of the neural network technology in the safety assessment of the steel works.