Finally, a numerical example shows that the modified RLS algorithm result in faster convergence speed by solving the contradiction between speed and accuracy.

算例表明：改进的RLS算法能解决收敛速度与收敛精度之间的矛盾，有效地加快了收敛速度。

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Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.

采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。

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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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