基于神经网络安全评价模型

rtificial Neural Networks has a strong self-organizing and learning, by entering the study sample, the knowledge that for the numerical model. This article describes the basic principles of artificial neural networks and several typical network model, the BP analysis of the characteristics of neural network models and put forward specific optimization strategy. On this basis, the neural network theory applied to evaluate the security system, selected to reflect the adoption of a state enterprise security and safety conditions of 6 parameters as a safety assessment study samples, which based on the theory of system security evaluation model to achieve Methods and advantages; evaluation of examples to prove the feasibility of this method.