| 基于趋势的实时量预测建模及并行实现 |
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| 引用本文： | 陆枫,潘非,李其申,陈传波. 基于趋势的实时量预测建模及并行实现[J]. 华中科技大学学报(自然科学版), 2001, 29(2): 50-52 |
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| 作者姓名： | 陆枫 潘非 李其申 陈传波 |
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| 作者单位： | 华中科技大学计算机科学与技术学院 |
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| 基金项目： | 国家高性能计算基金资助项目 |
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| 摘 要： | 提出了基于趋势的预测思路 ,建立了基于趋势的实时量预测模型 .利用高性能并行计算环境 ,结合并行处理技术将预测模型并行化 ,较好地解决了预测系统中数据量大、计算速度慢等问题
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| 关 键 词： | 并行处理 趋势 实时量 并行预测模型 |
| 文章编号： | 1000-8616(2001)02-0050-03 |
| 修稿时间： | 2000-08-07 |
Predicting Model for Real-time Data and Parallel Reality Based on the Trend |
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| Lu Feng,PAN Fei,Li Qishen,Chen Chuanbo. Predicting Model for Real-time Data and Parallel Reality Based on the Trend[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2001, 29(2): 50-52 |
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| Authors: | Lu Feng PAN Fei Li Qishen Chen Chuanbo |
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| Abstract: | A kind of data predicting idea based on the trend in data is put forward and a trend based on predicting model for real-time data is built. The predicting results obtained by this model make a good follow to real data curve. The trend based on predicting model with parallel surrounding and processing technology can solve such problems as a plenty of data or slowness of computation. |
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| Keywords: | parallel processing trend real-time data parallel predicting model |
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