然后应用反馈误差学习法修正学习误差。

Then, the feedback error learning is applied to reduce the learning errors.

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同时提出了一个反馈误差学习算法，用于对模糊检测规则进行改进以求达到识别的最优。

And a feedback study algorithm is proposed, with which it modifies the fuzzy detection rules to get the optimal results of recognition.

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DRNN控制器是根据GMA的滞回特性构造的，通过反馈误差学习方案在线学习GMA的逆滞回模型。

The DRNN controller was constructed based on the hysteretic characteristics of the GMA, and on-line learned the inverse hysteresis model of the GMA by the feedback-error learning scheme.

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