由于基元特征参数的维数低，因此，它与基于状态的各种识别方法相结合有利于实现更复杂识别方法。
As the parametric representation of primitives is low dimensional, the integration of primitives and state-based recognition algorithms helps realize some more complex recognition models.
应用改进的基于数域上的模糊模式识别方法，综合多条测井曲线进行自动分层。
Multiple well logging curves are zoned automatically by developed fuzzy identification based on number field.
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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