实验目标是寻找超调量更小、收敛速度更快的规则校正算法。
The experiment target is to find a rule modification algorithm that makes overshoot smaller, convergence speed quicker.
仿真结果显示，自然梯度算法比传统梯度算法收敛速度更快，分离效果更好。
Simulation results show that the natural gradient approach has faster convergence speed and better separation performance than the conventional gradient based algorithm.
该算法充分利用了迭代过程中的前几次迭代信息，从而使算法收敛速度更快。
The proposed algorithm has a faster convergence speed, for it USES the information of former iterations.
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