| 基于广义计算的时间序列数据挖掘算法 |
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| 引用本文： | 王芬,方应国.基于广义计算的时间序列数据挖掘算法[J].计算机工程与设计,2006,27(22):4313-4315,4373. |
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| 作者姓名： | 王芬 方应国 |
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| 作者单位： | 1. 浙江大学,计算机学院,浙江,杭州,310027;浙江树人大学,基础部,浙江,杭州,310015
2. 浙江树人大学,生物与环境工程学院,浙江,杭州,310015 |
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| 摘 要： | 首先介绍了广义计算和时间序列数据挖掘，然后提出一种基于广义计算的时间序列数据挖掘算法。该算法由灰色回归与神经网络结合而成，通过累加生成降低原始数据的波动幅度，以取得较好的拟合效果，再利用神经网络来完成数据的还原过程。该模型在对浙江省可持续发展指标的预测中，取得了满意的效果。
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| 关 键 词： | 广义计算 时间序列 数据挖掘 灰色系统 回归 BP网络 |
| 文章编号： | 1000-7024（2006）22-4313-03 |
| 收稿时间： | 2005-10-22 |
| 修稿时间： | 2005-10-22 |
Time series data mining algorithm based on generalized computing |
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| WANG Fen,FANG Ying-guo.Time series data mining algorithm based on generalized computing[J].Computer Engineering and Design,2006,27(22):4313-4315,4373. |
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| Authors: | WANG Fen FANG Ying-guo |
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| Affiliation: | 1. College of Computer Science, Zhejiang University, Hangzhou 310027, China; 2. Department of Basic Science, Zhejiang Shuren University, Hangzhou 310015, China; 3. College of Biology and Environment Technology, Zhejiang Shuren University, Hangzhou 310015, China |
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| Abstract: | Firstly, generalized computing and time series data mining are introduced, then a new data mining algorithm is brought forwrd based on generalized computing. This algorithm is made of grey regression and neural net, accumulated generating operation is employed to reduce the fluctuation range of raw data so that acquire a preferable curvefitting effect, and then neural net to is utilized recover data. This model is used in forecasting the sustainable development guideline of Zhejiang province and satisfactory effects is obtained. |
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| Keywords: | generalized computing time series data mining grey systems regression BP net |
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