| 1. | An additional factor which plays apart in estimation of the values at the grid nodes is weighting to be placed on the different data values located by the nearest neighbor search .
在估计网络结点值时，部分起用以另一个因素及对最邻近点搜寻中找出的不同数据值所给的权。 |
| 2. | Analysis of abnormal data in the measurement of film magnetostriction by false neighbor method
伪邻近点法分析薄膜磁致伸缩测试中异常数据 |
| 3. | A technique that searches close points and then gets feature domain by judging the curvature
通过寻找邻近点计算曲率，并通过曲率大小得到特征点云带。 |
| 4. | With the help of several neighbour points , a average unbiased prediction is got , which is more accurate than traditional prediction
用多邻近点的预测值的平均化来改进传统的零阶预测，得到一个无偏预测，并作出邻近点个数选择的阀值。 |
| 5. | For the habitation multi - scale representation , this paper put forward the second level neighbouring points discriminance to solve the combine with geographic locations and attributions
在对居民地进行的多尺度表达中提出了二级邻近点判别法，以实现要素的地理位置与属性的结合。 |
| 6. | Using local base surface parameterization , a parametric quadric surface approximation method is used to estimate the local surface curvature properties of scattered points based on propagating normal vector direction
首先，计算各点的邻近点集，选取合适的局部基础曲面，把邻近点集投影到相应的局部基础曲面。 |
| 7. | The minimum embedding dimension can be determined by the false nearest neighbors method , and embedding dimension of determination component in noise condition can be determined precisely by this method which can avoid the phase space disturbance because of the higher embedding dimensions
采用伪最邻近点法确定最小嵌入维数，这种方法可以准确地确定含噪信号中确定性成分的最小嵌入维数，避免嵌入维数过高导致相空间的混乱。 |
| 8. | In this article , an equivalent definition of reconstruct function is drew in the state space reconstruct by time delay chaotic time series , that lead the prediction more conveniently . then introduce a weighted distance to depict neighbour points of prediction which insured the similarity of the neighbour points
本文在时间序列坐标延迟后重构的相间中，作出重构函数的等价定义，提高了预测的可操作性；并在此基础上，引入了加权距离来刻画预测向量的邻近点，保证了邻近点的相似性。 |
| 9. | Time delay was chosen by using autocorrelation function method and mutual information method , while reconstruct dimension was obtained by g - p saturation correlation dimension method and false nearest neighbor percentage method . furthermore , initial neighborhood radius was computed by the estimated noise level based on the g - p saturation correlation dimension method . secondly , a noise reduction of the inflow time series was carried out by chaotic nonlinear local projection noise reduction method , and the effects on noise to chaotic characteristics and state reconstruction parameters were discussed
采用g - p关联维法计算关联维数； rosenstein法和kantz法计算最大lyapunov指数；重构相空间的延迟时间采用了自相关函数法和互信息量法；嵌入维数采用了饱和关联维法和伪邻近点法；初始领域半径的选取采用了基于g - p关联维法的噪声水平的初始估计方法。 |
