基于LSTM的销售预测系统的设计与实现  

Design and Implementation of Sales Forecast System Based on LSTM

作　　者：胡雨阳 张承 郑明 夏定纯[1] HU Yuyang;ZHANG Cheng;ZHENG Ming;XIA Dingchun(Wuhan Textile University,Wuhan 430200,China)

机构地区：[1]武汉纺织大学,湖北武汉430200

出　　处：《计算机与网络》2020年第23期65-67,共3页Computer & Network

摘　　要：针对大型商场后台服务器管理系统规模越来越大,结构越来越复杂及服务器负载量过大的问题,选用Java和SSM框架构建中台服务器,承担部分管理功能,缓解大后台服务器压力。同时为增强中台的综合管理水平,适应当前AI技术的迅猛发展,构建LSTM销售预测模型和模型应用接口,为中台提供智能化的预测分析功能。The background server management system of large-scale shopping mall has larger scale,more complex structure and too large server load.In view of these problems,the Java language and SSM framework are selected to build the middle stage server for undertaking part of the management functions,and relieving the pressure of large background server.At the same time,in order to enhance the comprehensive management level of the server in the middle office and adapt to the rapid development of AI technology,the LSTM sales forecast model and model application interface are constructed to provide intelligent prediction and analysis function for the middle office.

关 键 词：销售预测 长短期记忆神经网络 SSM 系统设计 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]