The Study of a Sales Forecast Model Based on SA-LSTM

doi:10.1088/1742-6596/1314/1/012215

	The Study of a Sales Forecast Model Based on SA-LSTM
	Wang, Yuzhen1 ; Chang, Dan1 ; Zhou, Chaojin1
	2019-11-06
会议名称	2019 3rd International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2019
会议录名称	Journal of Physics: Conference Series
卷号	1314
期号	1
会议日期	2019-08-09 - 2019-08-11
会议地点	Guizhou, China
出版者	Institute of Physics Publishing
摘要	Sales forecast is an indispensable link in the business activities of enterprises, and the accuracy of prediction is directly related to the effectiveness of enterprise sales and operation activities. In order to improve the prediction accuracy, a sales forecasting model based on LSTM is proposed. The model uses SA to optimize the initial connection weights of LSTM neural network, which solves the problem that the LSTM neural network converges to the local optimal, thus improving the network performance, and then makes an empirical analysis of the construction of the sales forecasting model based on SA-LSTM. The results show that the sales forecasting model improves the prediction accuracy, also reduces the number of iterations, and obtains a good prediction effect. © Published under licence by IOP Publishing Ltd.
关键词	Forecasting Sales Business activities Connection weights Empirical analysis Local optimal Number of iterations Prediction accuracy Sales forecasting Sales forecasts
DOI	10.1088/1742-6596/1314/1/012215
收录类别	EI
语种	英语
EI入藏号	20194907794500
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9676
专题	信息工程与人工智能学院工商管理学院
作者单位	1.School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, Gansu; 2.730020, China
推荐引用方式 GB/T 7714	Wang, Yuzhen,Chang, Dan,Zhou, Chaojin. The Study of a Sales Forecast Model Based on SA-LSTM[C]:Institute of Physics Publishing,2019.