GPR

代码说明：

说明：  高斯过程回归算法，根据已知数据预测未知数据，假设协方差函数，利用核函数计算(Gaussian process regression algorithm, predict unknown data according to known data, assume covariance function, and use kernel function to calculate)

文件列表：

GPR\GPR\Aveaged.m, 158 , 2020-03-27
GPR\GPR\drawings.m, 2130 , 2020-03-28
GPR\GPR\KK.m, 190 , 2020-03-27
GPR\GPR\n=20.fig, 31263 , 2020-03-28
GPR\GPR\Squared.m, 163 , 2020-03-27
GPR\相关连接.txt, 58 , 2020-03-27
GPR\GPR, 0 , 2020-03-28
GPR, 0 , 2020-03-27