基于BP神经网络的卫生装备维修能力评估  

BP neural network-based assessment of medical equipment maintenance ability

作　　者：张谷敏[1] 尹晓峰[1] 张康[1] 张伟[1] 

机构地区：[1]济南军区联勤部药品仪器检验所,济南250022

出　　处：《医疗卫生装备》2015年第12期46-48,共3页Chinese Medical Equipment Journal

摘　　要：目的:建立基于BP(back propagation)神经网络的卫生装备维修能力评估系统,为科学评价维修机构提供依据。方法:分析常用装备维修能力的影响因素并量化,建立指标评价体系,将评价体系作为输入层,维修能力作为输出层,构建BP神经网络系统;利用Matlab软件训练网络,建立评估模型,并进行有效性验证。结果:得出反映待评估机构维修能力的量化值。结论:该系统可操作性强,保证了维修能力评估的科学性、合理性和公平性,较好地解决了定性评价存在的问题,具有一定的推广应用价值。Objective To establish a BP neural network-based assessment system of medical equipment maintenance ability, Methods The influencing factors of medical equipment maintenance ability were analyzed and quantified, and assessment indexes system was constructed, and then BP neural network was developed with the assessment system as the input layer and maintenance ability as the output layer. Matlab software was used to train the network and implement assessment model, and effectiveness demonstration was carried out. Results The quantified values were determined for the maintenance ability of to-be-assessed facilities. Conchuslon The medical equipment maintenance assessment systenl solves the problems in qualitative assessment, and thus is worthy popularizing praetically. [Chinese Medical Equipment Journal, 2015,36（ 12 ） ：46-48]

关 键 词：BP神经网络 装备维修能力 MATLAB 

分 类 号：R821.15[医药卫生—临床医学]