After speed of statistical convergence and MSE (Mean Square Error) of these algorithms are compared, Bayes Generalization algorithm is assessed to be the most appropriate.

在比较收敛速度和均方差后，确定选用贝叶斯正则算法建立模型。

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The algorithm is initialized by a statistical histogram based on FCM algorithm, which can speed up the convergence of the algorithm.

算法中使用基于统计直方图的快速FCM算法进行初始化，收敛速度大大提高。

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In this paper, the bounds on the rate of uniform convergence of the learning processes on possibility space are discussed based on the classic Statistical learning Theory.

本文在经典统计学习理论的基础上，讨论了可能性空间上学习过程一致收敛速度的界。

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