残缺观测数据 incomplete observational data
Based on these works, the author advances a new method with RBF (Radial Basis Function) neural network to deal with the deformity data. According to the experiments, the result is preferable.
在此基础上，作者提出了采用径向基函数网络(RBF)对残缺数据进行修复的方法，并用仿真数据和笔筒的实际数据进行了实验，获得了较好的效果。
参考来源 - 激光三维扫描、重建技术及其在工程中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
介绍了数据完备性检查模块的一个具体实现，即开发有实际应用前景的残缺数据检查软件。
This paper discuss the realization of the software module checking the completeness of data, that is to exploit the check software, which has real application prospect.
提出样本目标值残缺情况下的三种等效聚类算法，可使残缺数据样本有效地参加聚类，减少样本数据残缺对聚类的影响；
Then, three equivalent clustering algorithms are provided for the dataset with fragmentary samples, which decreases the influence of incomplete data on clustering.
对于残缺的样本观测数据，讨论了正态分布总体尺度参数的区间估计问题。
A question of formation confidence interval for scale parameter of normal distribution from incomplete observational data is discussed.
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