| 基于BP神经网络的物流预测方法 |
| |
| 引用本文： | 王隆基,张仲鹏,孙晓霞.基于BP神经网络的物流预测方法[J].机械,2004,31(3):4-5,9. |
| |
| 作者姓名： | 王隆基 张仲鹏 孙晓霞 |
| |
| 作者单位： | 1. 西南交通大学,机械工程学院,四川,成都,610031
2. 成都乘风阀门有限责任公司,四川,成都,610100 |
| |
| 摘 要： | 针对传统物流预测方法的局限，研究了基于BP模型神经网络的物流预测方法，即依据历史数据建立BP神经网络然后进行训练形成物流预测模型。阐明了神经网络具有记忆、学习功能，得出它能够很好模拟物流发展趋势。大量预测结果的准确性表明基于神经网络的物流预测是一个行之有效的方法。
|
| 关 键 词： | 物流预测 人工神经网络 BP网络 模型 移动平均预测法 指数平滑预测法 回归分析预测法 |
| 文章编号： | 1006-0316(2004)03-0004-03 |
The forecast methods of logistics based on BP network |
| |
| WANG Long-ji,ZHANG Zhong-peng,SUN Xiao-xia.The forecast methods of logistics based on BP network[J].Machinery,2004,31(3):4-5,9. |
| |
| Authors: | WANG Long-ji ZHANG Zhong-peng SUN Xiao-xia |
| |
| Affiliation: | WANG Long-ji1,ZHANG Zhong-peng1,SUN Xiao-xia2 |
| |
| Abstract: | From the traditional forecast methods of logistics, a forecast methods of logistics based on BP model neural network is put forward. That is, according to historical data, to establish BP model and to train it. Because of neural networks?function of learn, memory, it can simulate the tendency of logistics development. The accuracy of the forecast in the samples shows that the forecast model is an effective method. |
| |
| Keywords: | logistics forecast artificial neural network BP model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
