[1]唐亚鹏. 基于自适应加权数据融合算法的数据处理[J].计算机技术与发展,2015,25(04):53-56.
　TANG Ya-peng. Data Processing Based on Adaptive Weighted Data Fusion Algorithm[J].,2015,25(04):53-56.
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 基于自适应加权数据融合算法的数据处理()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年04期
页码:
53-56
栏目:
智能、算法、系统工程
出版日期:
2015-04-10

文章信息/Info

Title:
 Data Processing Based on Adaptive Weighted Data Fusion Algorithm
文章编号:
1673-629X（2015)04-0053-04
作者:
 唐亚鹏
 西安科技大学 电控学院,
Author(s):
 TANG Ya-peng
关键词:
 ; 数据处理; 误差; 数据融合; 自适应
Keywords:
 ; data processing; error; data fusion; adaptive
分类号:
TP391
文献标志码:
A
摘要:
 为了对大量数据进行控制和管理，以反映真实的生产情况，文中提出了一种混合的数据处理方法。先用格罗贝斯判据剔除测量数据中的疏失误差，然后基于算术平均值与分批估计的融合算法对余下的数据进行预处理，最后在总均方误差最小的最优条件下，采用自适应加权融合算法对数据进行融合处理。把处理后的结果与其他算法进行比较，结果是采用混合算法的数据精度最高，误差最小。得出结论，采用这种混合的数据处理方法，能把大量数据融合为一个最接近真实情况的数据，反映了真实的生产过程。
Abstract:
 A hybrid data processing method is proposed in order to reflect the real production situation and large amounts of data needed to be controlled and managed. The negligent errors in the measurement data were excluded by Grobass criterion,then the rest of the data were preprocessed based on the arithmetic mean and the batch estimates,lastly the data were fused using adaptive weighted fusion algo-rithm in the condition of minimal mean square error. The three calculation results were compared with other algorithm. The results show that the data by hybrid algorithm has perfect accuracy and minimal error. The conclusion is that a lot of data can be fused to a datum re-flecting the real production process by using the hybrid method of data processing.

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更新日期/Last Update: 2015-06-04