摘要
本文将人工神经网络应用于高校校园安全评价中,建立了采用LM算法的三层BP神经网络高校校园安全评价模型,并参考国内对校园安全评价的研究成果,建立了校园安全评价指标体系,通过专家打分获得训练样本,用trainlm训练函数训练网络进行实例分析,其评价结果与实际一致,验证了该评价模型的适用性。该模型可以利用已有的比较成功的校园安全评价案例的信息,使专家的评价判断和知识得到积累。
The artificial neural network is applied to college campus safety evaluation.The model of safety evaluation for campus based on three-layer BP-neural network is established using LM algorithm.By reference of the domestic research for campus safety evaluation,the safety evaluation index system of college campus is selected.The network is trained by trainlm function with training samples which have been obtained by experts.The result is consistent with the actual work by the network,and the applicability of the evaluation model is illustrated by examples.This model can use the existing information of campus safety assessment with relatively successful cases,so the judgment and knowledge of experts can be accumulated.
出处
《安全与环境工程》
CAS
2011年第2期93-95,111,共4页
Safety and Environmental Engineering
关键词
高校校园
BP神经网络
安全评价模型
评价指标
college campus
BP-neural network
safety evaluation model
evaluation index
