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安全防范系统效能评估目的在于促进安全防范系统使用效能,保障系统在使用过程中的高效运转。BP神经网络是人工神经网络的一种,是一种有导师学习的误差反向传播神经网络。本文主要探讨如何应用BP神经网络模型对安全防范系统进行有效的效能评估。以出入口控制系统为例,根据系统效能评估的指标体系,建立与之对应的BP神经网络,利用专家打分法和模糊层次法相结合的方式取得该神经网络应用于出入口控制系统效能评估时的训练样本,然后对样本进行归一化等处理,并对此神经网络进行学习训练,应用所构建的BP神经网络模型对系统进行效能评估。
The purpose of safety system effectiveness assessment is to promote the effectiveness of the safety precaution system and ensure the efficient operation of the system during its use. BP neural network is a kind of artificial neural network, which is a kind of error back propagation neural network with tutor study. This paper mainly discusses how to apply BP neural network model to effectively evaluate the security system. Taking the control system of entrance and exit as an example, according to the index system of system performance evaluation, a corresponding BP neural network is established. By using the combination of expert scoring method and fuzzy hierarchy method, the neural network is applied to the training samples when evaluating the efficiency of entrance control system , And then the sample is normalized and other processing, and the neural network to learn training, the application of the BP neural network model built to evaluate the effectiveness of the system.