节点文献
基于趋势的实时量预测建模及并行实现
Predicting Model for Real-time Data and Parallel Reality Based on the Trend
【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
【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.
【关键词】 并行处理;
趋势;
实时量;
并行预测模型;
【Key words】 parallel processing; trend; real-time data; parallel predicting model;
【Key words】 parallel processing; trend; real-time data; parallel predicting model;
【基金】 国家高性能计算基金资助项目
- 【文献出处】 华中科技大学学报 ,Journal of Huazhong University of Science and Technology , 编辑部邮箱 ,2001年02期
- 【分类号】TP391.9
- 【被引频次】1
- 【下载频次】31