关于基于概率相似度的不完备信息系统数据补齐算法_计算机软件_九九论文中心 关键词：粗糙集； 缺损数据； 概率相似度； 算法 [gap=573]Key words：rough set; missing data; probability similarity; algorithm
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In this paper, BP neural network is used to mending the insufficient data during the measuring procedure of digitalizing geometric feature of curved surface.
在本论文中，采用BP神经网络，对曲面几何特征数字化测量过程中产生的缺损数据进行修补。
参考来源 - 基于BP神经网络实现曲面数据修补的方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
实验证明利用这种基于属性的知识发现方法处理缺损数据是很有效的。
Attributeoriented knowledge discovery method is proved to be a powerful approach for mining incomplete data in the large database in our experiment of this paper.
基于局部域上象元的整体相关性和基图象纹理连续性，对已知象元进行迭代拟合，同时修复多点缺损数据。
Based upon texture feature and whole interrelation of, pixels in local region, an iterative algorithms of approximation to known pixels was performed to restore the damaged data.
基于在电力负荷预测前期收集历史数据资料时，可能遇到历史数据数据缺损的情况，为此提出了多种对缺损数据的处理方法。
In the electric load forecasting, the shortage and damage data may be encountered when historical data information are collected. This paper puts forward a number of methods to solve these problems.
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