Usually, excess meansquareerror (MSE) and convergence speed are two criterions used to evaluate performance.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
2
The experimental results demonstrate that the MSE (meansquareerror) reduced by this proposed approach decreases 30% - 60% than that by Laplacian pyramid and discrete wavelet transform approaches.
实验表明该方法融合结果的均方误差比拉普拉斯金字塔算法和小波变换方法降低约30% - 60%。
3
After speed of statistical convergence and MSE (MeanSquareError) of these algorithms are compared, Bayes Generalization algorithm is assessed to be the most appropriate.