基于神经网络的智能安全评估平台研究

Research on Intelligent Security Evaluation Platform Based on Neural Network

该文介绍了一种基于BP神经网络的智能安全评估工具。首先利用神经网络的非线性关系的强大学习能力,建立评估模型,然后通过提高训练算法评估数据的准确性、客观性和真实性,再结合AHP层次分析法对项目管理过程数据进行定性和定量分析,从而完成安全评估的过程模拟,最终应用到实际测评中。

This paper presents an intelligent security assessment tool based on neural network.In this tool,first of all,the powerful learning ability of neural network is used to establish the evaluation model,and then the accuracy,objectivity and authenticity of the evaluation data of the training algorithm are improved,and then the qualitative and quantitative analysis of the project management process data combined with AHP is carried out,so as to complete the process simulation of safety assessment,and finally applied to the actual evaluation.