| 灰色系统和BP神经网络相结合的矿产资源预测模型 |
| |
| 引用本文： | 单明霞,俞锋,柳炳利.灰色系统和BP神经网络相结合的矿产资源预测模型[J].物探化探计算技术,2007,29(5):443-445. |
| |
| 作者姓名： | 单明霞 俞锋 柳炳利 |
| |
| 作者单位： | 成都理工大学,信息管理学院,四川,成都,610059 |
| |
| 摘 要： | 这里介绍了灰色系统和BP神经网络相结合的预测原理,利用BP网络,对改进的GM(1,1)残差修正模型所得预测的结果进行再预测的组合预测模型,并对攀枝花市钒钛磁铁矿的产量进行了预测。计算结果表明,该预测方法是可靠的,并具有较高的预测精度。
|
| 关 键 词： | 矿产资源预测 GM(1 1)模型 GM(1 1)残差模型 BP神经网络 |
| 文章编号： | 1001-1749（2007）05-0443-03 |
| 修稿时间： | 2006-11-02 |
The mineral resources forecast models by combining Grey system and the BP neural networks |
| |
| SHAN Ming-xia,YU Feng,LIU Bing-li.The mineral resources forecast models by combining Grey system and the BP neural networks[J].Computing Techniques For Geophysical and Geochemical Exploration,2007,29(5):443-445. |
| |
| Authors: | SHAN Ming-xia YU Feng LIU Bing-li |
| |
| Abstract: | This article introduces the forecast principle by combining the grey system and the BP neural networks.The BP neural networks are used to improve remnant error model of GM(1,1) obtained forecast result carried on the combining forecast model which forecast again and has carried on the forecast to the vanadium titanomagnetite output of Pan zhihua.The computed result indicated that this forecast method is reliable,and has high forecast precision. |
| |
| Keywords: | mineral resource forecast GM(1 1)model remnant error model of GM(1 1) BP neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
