现代科学仪器2023，Vol.40Issue(6)：22-27,6.
基于层次分析法与BP神经网络的医院员工绩效考核模型
Design of Performance Appraisal System for Hospital Staff Based on AHP and BP Neural Network
摘要
Abstract
In order to improve the accuracy of medical staff's performance appraisal,a performance appraisal model based on analytic hierarchy process(AHP)and BP neural network was proposed.First of all,the hospital staff performance evaluation index was extracted and analyzed through the analytic hierarchy process,forming a scientific evaluation index system;Then,the expert scoring method is used to obtain the evaluation indicators and performance level data,and the indicator scores are used as the input vector of BP neural network,and the performance evaluation level is used as the output vector to establish the AHP-BP performance evaluation model for medical personnel.Compared with RBF and RF,the performance appraisal model based on BP neural network has higher precision,which has certain reference value for other enterprises'employee performance appraisal.关键词
医院/层次分析法/BP神经网络/绩效考核Key words
hospital/analytic hierarchy process/BP neural network/performance appraisal分类
信息技术与安全科学引用本文复制引用
李榕,汪倩,李月琴..基于层次分析法与BP神经网络的医院员工绩效考核模型[J].现代科学仪器,2023,40(6):22-27,6.基金项目
国家自然科学基金面上项目(编号:520771911) （编号:520771911）
