模糊系统对非线性函数逼近能力的研究。

Study on approximation ability of nonlinear function.

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非线性函数逼近作为统计理论的一个重要分支，在模式识别中有着广泛的应用。

As one of the important branches in statistic theory, the non-linear function has a large application in model-identification.

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因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。

So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.

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