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.
文章以偏心圆柱电容为例，通过构造一个满足边界条件的势函数，进而得到相应的静电场和电场能量密度。
With an example of eccentric column capacity, a potential function that satisfies the boundary conditions is formed to obtain corresponding electromagnetic field and its energy density.
根据不同的跃迁运动和自由扩散运动模型导出了魔角旋转条件下的平均谱密度函数。
The average spectral density functions under MAS condition were derived from various models of jump motion and models of freely diffusive motion.
针对多指手机器人抓取系统，引入了密度函数用于研究其线性及非线性系统的稳定性，得到了使抓取系统的平衡解几乎处处渐近稳定的不等式条件。
In order to study the stability of robotic multi-fingered grasping, density function is constructed, and the inequality condition of everywhere stability of grasping system is obtained.
当状态过程具有马氏性时，还分别给出滤波、预测以及内插的条件分布密度函数的递推格式。
When the state process has Markov property, the recursive formulae for the conditional distribution density functions of filtering, prediction. and interpolation, are given respectively.
频谱参数的预测公式由各基频下的条件概率密度函数导出，频谱参数的修改通过正弦模型实现。
The spectral parameters were predicted using the conditional probabilistic distribution function based on the pitch and were modified synchronizingly with the pitch using the sinusoidal model.
讨论了在适当条件下，密度函数核估计的一致强相合性。
Under certain conditions, We discuss the uniform strong consistency of kernal estimator for the density function.
最大熵密度函数以Z的期望和高阶中心矩为约束条件加以拟合。
The maximum entropy density function is fitted with the restriction of expectation and high DE - gree central moments of Z.
聚类是在非监督条件下对数据进行分类，其分类依据主要有数据之间的相似性和数据集合的分布密度函数。
Clustering is an unsupervised classification method. It USES either the data similarity or PDF of data set for classification.
聚类是在非监督条件下对数据进行分类，其分类依据主要有数据之间的相似性和数据集合的分布密度函数。
Clustering is an unsupervised classification method. It USES either the data similarity or PDF of data set for classification.
应用推荐