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.
在工程应用领域，特别是模式识别、量子物理，通信领域等众多非线性信号处理方面得到了最为广泛的应用。
In engineering application area, especially in nonlinear signal processing such as pattern recognition, quantum physics and communication it has a lot of novel applications.
对于这样一个高维数、非线性的小样本问题， 许多传统的模式识别方法都容易出现过学习或欠学习现象。
When solving this small sample problem with high dimension and nonlinear, many traditional pattern recognition methods will tend to occur overfitting phenomenon.
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