基于人工神经网络的高校大学生就业情况分析  

Analysis on Employment Situation of University Students Based on BPArtificial Neural Network

作　　者：王伟 金保明[2] WANG Wei;JIN Bao-ming(College of Information and Mechanical and Electrical Engineering,Ningde Normal University,Ningde Fujian,352000;College of Civil Engineering,Fuzhou University,Fuzhou Fujian,350116)

机构地区：[1]宁德师范学院信息与机电工程学院,福建宁德352000 [2]福州大学土木工程学院,福建福州350116

出　　处：《山西大同大学学报（自然科学版）》2023年第5期60-64,共5页Journal of Shanxi Datong University(Natural Science Edition)

基　　金：福建省自然科学基金项目[2016J01734]。

摘　　要：高等教育的普及,后疫情时期市场经济下行,高校就业工作困难重重。根据收集527名毕业生在校期间各项特征数据,构建BP人工神经网络毕业生就业预测模型,随机采用11/12数据系列作为训练样本,剩下的1/12(一共44组数据)数据系列用于检验模型的正确性,模型运行后预测结果的准确度达到86.36%,具有较高的精度。该预测结果能够给高校就业工作部门提供一定参考,提高高校就业工作的预见性、针对性、精准性。With the popularization of higher education and the downward trend of the market economy in the post-epidemic period,there are many difficulties in employment in universities.Based on the characteristic data of 527 graduates during their school years,this paper constructed a BP artificial neural network graduate employment model.The 11/12 data series was randomly used as the training sample,and the remaining 1/12 data series(a total of 44 sets of data)were used to test the correctness of the model.The accuracy of the prediction results reached 86.36%after the model was run,showing a high accuracy.The predicted results can provide certain reference for the employment department of universities,and improve the predictability,pertinence,and accuracy of employment work in universities.

关 键 词：高校毕业生就业现状 就业率 BP神经网络 就业指导 

分 类 号：G645[文化科学—高等教育学] N32[文化科学—教育学]