The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.

在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。

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The experimental results show that the feedback learning can greatly improve the performance of SVM classification.

实验结果表明，反馈学习具有明显提高SVM分类性能的能力。

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To overcome this problem and the shortcomings of current adaptive methods, we propose a new adaptive method based on feedback learning.

针对该问题以及现有自适应方法的不足，本文提出基于反馈学习的自适应方法。

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To overcome this problem and the shortcomings of current adaptive methods, we propose a new adaptive method based on feedback learning.

针对该问题以及现有自适应方法的不足，本文提出基于反馈学习的自适应方法。

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