|本期目录/Table of Contents|

[1]王云海,李娟,李春民.尾矿坝浸润线数据挖掘预测模型的样本选取研究*[J].中国安全生产科学技术,2009,5(5):9-12.
　WANG Yun hai,LI Juan,LI Chun min.Research of selecting the training samples for the infiltration route prediction model in tailing[J].Journal of Safety Science and Technology,2009,5(5):9-12.
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尾矿坝浸润线数据挖掘预测模型的样本选取研究*()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
5
期数:
2009年5
页码:
9-12
栏目:
出版日期:
2009-10-31

文章信息/Info

Title:
Research of selecting the training samples for the infiltration route prediction model in tailing
文章编号:
1673-193X(2009)-05-0009-04
作者:
王云海; 李娟; 李春民
中国安全生产科学研究院
Author(s):
WANG Yunhai;  LI Juan;  LI Chunmin
China Academy of Science and Technology
关键词:
时间序列; 样本; 浸润线
Keywords:
time series;  training sample;  infiltration route
分类号:
X924.2
DOI:
-
文献标志码:
A
摘要:
本文分别应用时间序列功能模型和回归模型，在原始数据的基础上建立样本，并运用支持向量回归机算法对样本进行训练，得出了尾矿坝浸润线埋深预测模型并进行了实例应用。研究证明，运用时间序列模型选取训练样本能够得出更为精确的预测结果。
Abstract:
In this paper, based on the construction of a reasonable target system, training samples were set up by two different methods, one is multifactor time series, the other is the traditional method. Then support vector regression algorithm machine was applied to set up two different regression models for the prediction of the future infiltration route data in tailing. The research showed that, more precise data can be obtained for the infiltration route in tailing by the time series prediction model.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2009-07-06作者简介：王云海，男，教授级高工。*基金项目：国家“十一五”科技支撑计划课题(编号:2006BAK04B01-1)
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