微型电脑应用2023，Vol.39Issue(12)：9-11,15,4.
基于灰色神经网络的医院人力资源需求预测研究
Research on Prediction of Hospital Human Resource Demand Based on Grey Neural Network
摘要
Abstract
Considering the reality of hospital human resource demand,a grey neural network prediction model combining quanti-tative analysis and qualitative analysis is proposed,the structural parameters of grey neural network are optimized by particle swarm optimization algorithm,and the model for hospital human resource demand prediction is obtained.The proposed model is compared with grey neural network model,neural network model and GM(1,1)grey model.The results show that the pre-diction accuracy of grey neural network model and improved grey neural network model is significantly higher than that of neu-ral network model and GM(1,1)grey model.But the prediction of improved grey neural network prediction model is conserva-tive,and the prediction accuracy is relatively high.关键词
灰色神经网络/粒子群优化算法/人力资源/需求预测Key words
grey neural network/particle swarm optimization algorithm/human resource/demand prediction分类
管理科学引用本文复制引用
张建学,李钰..基于灰色神经网络的医院人力资源需求预测研究[J].微型电脑应用,2023,39(12):9-11,15,4.基金项目
国家自然科学基金项目(517084408) （517084408）
