神经网络在实验室检测工作质量管理及控制中的应用  

Application of Neural Network in Laboratory Testing Work Quality Management & Control

作　　者：孙锡丽[1] 黄昕[1] 黄何[1] 郭德淮[1] 何政[1] 王军[1] 

机构地区：[1]宁波出入境检验检疫局,浙江宁波315012

出　　处：《检验检疫学刊》2014年第2期22-29,6,共9页Journal of Inspection and Quarantine

基　　金：国家质检总局科技计划项目(2012IK074)

摘　　要：对实验室检测工作质量中存在的风险因素进行研究,形成风险评价指标体系,并运用BP神经网络建立风险分析评价模型,对风险评价指标进行量化评价,最终获得量化的实验室整体检测工作质量风险数据,为实验室有效管理提供科学决策依据。We conducted research on the risk factors of laboratory testing work quality, created an indicator system for laboratory testing work quality risk assessment, built risk analysis＆amp;assessment model based on BP neural network, did quantitative assessment of laboratory testing work quality risk assessment indicators, obtained quantitative data of laboratory overall testing work quality risk, thus provided scientific policy-making basis for effective laboratory management.

关 键 词：实验室 工作质量 神经网络 应用 

分 类 号：X820.4[环境科学与工程—环境工程]