科技创新与应用2024，Vol.14Issue(23)：40-43,47,5.DOI:10.19981/j.CN23-1581/G3.2024.23.010
基于深度学习的电子商务销售预测
摘要
Abstract
With the rise of mobile shopping platform,consumer shopping behavior has changed significantly.Online sales have quickly become one of the main sales channels in various industries.The traditional prediction method is mainly based on data mining,which is simple and easy to use,but it is difficult to deal with complex nonlinear time series,so this paper proposes a prediction model based on LSTM-DNN.Compared with LSTM and RNN,the new model has obvious advantages,effectively improves the prediction accuracy,and is of great significance for e-commerce enterprises to reduce management costs.关键词
深度学习/电商销售/时间序列/购物平台/预测模型Key words
deep learning/e-commerce sales/time series/shopping platform/prediction model分类
管理科学引用本文复制引用
王泽菡,徐毓晖,王晓文..基于深度学习的电子商务销售预测[J].科技创新与应用,2024,14(23):40-43,47,5.基金项目
广东大学生科技创新培育专项资金资助项目(pdjh2022b0642) （pdjh2022b0642）
