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基于BP神经网络的销售预测系统的实现
Implement of Sales Forecast System Based on BP Neutral Network
【摘要】 人工神经网络具有良好的非线性映射能力和自学习能力,可以通过学习把基本需求、季节、周期、市场活动等因素以及它们之间的相互作用以权值的形式固化在神经网络中,用来预测销售趋势。本文详细介绍了BP神经网络模型的建立过程和基于BP神经网络的销售预测系统模型的建立及其实现。
【Abstract】 Artificial neural network has a good nonlinear mapping capabilities and self-learning ability,you can learn the basic needs of seasons,cycles,market activities and other factors and the interactions between them to the right of curing in the form of neural network,using to predict sales trends.This paper describes the BP neural network model of the process and neural network based on BP neural network sales forecasting system and its model of achieving.
【关键词】 BP神经网络;
预警系统;
数据挖掘;
销售预测;
【Key words】 BP Neural Network; Early-Warning System; Data Mining; Sales Forecast;
【Key words】 BP Neural Network; Early-Warning System; Data Mining; Sales Forecast;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2009年30期
- 【分类号】TP311.52
- 【被引频次】7
- 【下载频次】385