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基于MLP神经网络的物流需求预测模型研究

罗冰洁

计算机与数字工程2018,Vol.46Issue(6):1173-1177,5.
计算机与数字工程2018,Vol.46Issue(6):1173-1177,5.DOI:10.3969/j.issn.1672-9722.2018.06.023

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

罗冰洁1

作者信息

  • 1. 四川大学华西医院 成都 610041
  • 折叠

摘要

Abstract

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 the need to study the logistics needs of economic development elements. In this paper,the logistics industry is influenced through the impact 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 technology for data analysis,the use of the results of the future logistics needs to simulate. Finally,the simulation results show that the results are 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

Key words

data mining/MLP neural network/regional logistics/forecasting model

分类

信息技术与安全科学

引用本文复制引用

罗冰洁..基于MLP神经网络的物流需求预测模型研究[J].计算机与数字工程,2018,46(6):1173-1177,5.

计算机与数字工程

OACSTPCD

1672-9722

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