基于MLP神经网络的物流需求预测模型研究  

Research on Library Management System Based on Hybrid Clustering Algorithm

作　　者：罗冰洁[1] LUO Bingjie(West China Hospital of Sichuan University,Chengdu 610041)

机构地区：[1]四川大学华西医院,成都610041

出　　处：《计算机与数字工程》2018年第6期1173-1177,共5页Computer & Digital Engineering

摘　　要：物流需求的高速发展使得区域物流系统建构、物流的合理分配成了该过程中的主要部分,但是经济的发展才是物流业的核心关键,所以研究物流的需求必须分析经济的发展要素。论文中通过影响物流业的影响因素进行模型搭建,物流的预测和这些因素密不可分,利用数据挖掘技术对数据进行预处理,得到更为有效的数据和去除冗余的信息,得到的数据采用MLP神经网络训练技术对数据分析,利用结果对未来的物流需求进行模拟。最后模拟实验发现得到的结果与实际数据误差不大,所以该模型和处理模型的方法有效可行。The rapid development of logistics demand makes the regional logistics system construction,the rational distribu-tion of logistics has become a major part of the process,but the economic development is the core of the logistics industry,so theneed to study the logistics needs of economic development elements. In this paper,the logistics industry is influenced through theimpact of factors to build models,logistics forecasts and these factors are inseparable,the use of data mining technology for data pre-processing,to be more effective data and removal of redundant information,the data used MLP neural network training technologyfor data analysis,the use of the results of the future logistics needs to simulate. Finally,the simulation results show that the resultsare not very different from the actual data,so the model and the method of processing the model are effective and feasible.

关 键 词：数据挖掘 MLP神经网络 区域物流 预测模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]