在模式识别、回归估计、概率密度函数估计等方面都有应用。
In pattern recognition, regression estimates, the estimated probability density function, and other aspects of application.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
A novel PNN model with training algorithms is proposed for class conditional density estimation.
目前，主要应用在模式识别、回归估计、概率密度函数估计等方面。
Now it is applied in Pattern Recognition, regression estimate and probability estimate.
应用推荐