函数拟合 meaning in English
function fitting
Examples
- In the end of the paper , two examples are analysised , the samples tell us the displacement function with adjust coefficient has advantages of high accuracy and simple
本文的创新之处在于：采用分段函数拟合顶板位移函数；采用神经网络方法识别位移函数；用调整系数修改位移函数。 - Abstract : based on ks function fitting characteristics , this paper presents a new mixed envelopment method and its realization and application in smoothing propeller force curve of tilting mechanism for tilting passenger train
文摘:基于ks函数拟合特性，提出了混合包络新概念及实现方法，并阐述了这种方法在光滑摆式列车倾摆机构推力曲线上的应用。 - The covariance of the training samples which are sampled from the antenna arrays is delivered into svm training machine after transformed suitably , then we use svm regression on the unknown samples according as the trained machine for getting the source location
把阵列天线采集的训练样本的协方差矩阵进行适当变换之后送入svm训练器进行学习，然后根据这个学习机对未知样本进行svm的函数拟合，得到信源方向。 - Finally , chapter 6 is two applications on idea and approach of svm . one is regression analysis , the other is pca ( principal components analysis ) . we have improved their ability of anglicizing and dealing with data , and simplified procedure of processing them
最后，在第六章中，把第三章svm核函数的思想和第四章简化fssvm的思想运用到回归分析(函数拟合) 、主成分分析（ pca ）中，提高了二者的分析、处理数据的能力，简化了处理过程。 - In order to predict source location by using the svm regression , we combine the svm theory & the antenna array module , construct a training data structure ; design a new system module which optimize the train machine by altering different parameter
为了利用支持向量机的函数拟合来预测信源位置，我们将支持向量机理论和阵列天线模型结合在一起，根据两者的不同特点构造了一个训练数据结构；并设计了通过改变不同参数对训练机器进行优化的新的系统模型。