微型电脑应用2023，Vol.39Issue(11)：221-224,4.
基于数据挖掘的图书馆借阅量预测研究
Research on Library Borrowing Volume Prediction Based on Data Mining
邓敏 1卢宁2
作者信息
- 1. 广东科学技术职业学院图书馆,广东,珠海 519000
- 2. 广东科学技术职业学院计算机工程技术学院(人工智能学院),广东,珠海 519000
- 折叠
摘要
Abstract
Library borrowing volume is affected by many factors.These features result in the low prediction accuracy of tradi-tional prediction methods which are based on linear regression and grey theory.To solve this problem,this paper introduces the theory and method of data mining,and proposes a prediction model of library borrowing volume based on factor analysis(FA)model,particle swarm optimization(PSO),and BP neural network.FA is used to model and analyze the original data of bor-rowing volume,and the main common factors closely related to borrowing volume are determined.The main common factors are taken as the input of the BP neural network model,and then the prediction model is established to predict the future bor-rowing volume.At the same time,to solve the problem of initial parameter setting of BP neural network model,an improved particle swarm optimization algorithm is proposed for global optimization to improve the prediction accuracy.Simulation results show that the proposed model has higher prediction accuracy and better overall prediction performance than the comparison method.关键词
图书管理系统/借阅量/数据挖掘/因子分析/预测模型Key words
library management system/number of books borrowed/data mining/factor analysis/prediction model分类
信息技术与安全科学引用本文复制引用
邓敏,卢宁..基于数据挖掘的图书馆借阅量预测研究[J].微型电脑应用,2023,39(11):221-224,4.
