The logging of PNN records heat neutron rates before seized reaction.
PNN测井记录俘获反应前后热中子记数率。
PNN network; LVQ network; SOM network; the non-asbestos gaskets; classification;
PNN神经网络；LVQ神经网络；SOM神经网络；非石棉垫片； 分类；
A adaptive PNN is presented to improve the basic PNN and to compare with the basic PNN.
针对基本pnn的不足之处，提出了自适应pnn，并将其损伤识别精度与基本的PNN进行比较。
A novel PNN model with training algorithms is proposed for class conditional density estimation.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
Aiming at procedure neural network (PNN) 's aggregation in time field, a training method of PNN is shown.
为解决过程神经元网络训练涉及的时域聚合运算问题，提出了过程神经元网络的一种学习算法。
Finally, PNN method is used to identify the primary fault sources from the features of correlative faults.
最后，利用概率神经网络技术进一步从关联故障特征中辨识出初始故障源。
It is shown that the PNN method is very effectively by the theoretical analysis and practical application.
理论分析和实例结果验证了基于PNN的水轮发电机组振动故障诊断方法是正确和有效的。
The simulation results show that PND and PNN can reflect the situation of flooded layer in many conditions.
模拟研究结果表明，在大多数情况下，PND和PNN测井能较好的反映地层的水淹情况。
Aiming at process neural network aggregation operation problem in time field, a training method of PNN is shown.
为解决过程神经元网络训练涉及的时域聚合运算问题，提出了过程神经元网络的一种学习算法。
It is feasible that using PNN to identify damage of pile cap which is based on the space truss load transfer mechanism.
说明用概率神经网络对基于空间桁架传力机理的桩承台进行损伤识别是可行的。
Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.
位置的确定采用PNN神经网络，截面刚度的识别采用RBF神经网络。
As a whole the PNN logging method is preferable the low salinity and porosity to the other ways to determine the remaining oil saturation.
PNN测井方法在低地层水矿化度、低孔隙度地层比其他方法具有优势。
The addition of excess WO_3 improved the dielectric temperature characteristic of PMW-PNN-PT ceramics, but the dielectric constant decreased.
过量WO_3能够改善陶瓷的温度稳定性，同时会降低样品的介电常数。
This paper presents a attribute seismic inversion Based on PNN neural network that can develop the advantages of the techniques mentioned above.
本文提出了一种基于PNN神经网络的多属性地震反演技术，可以比较好地发挥两者的优势。
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used.
概率神经网络(PNN)是一种训练速度快、结构简洁明了、应用广泛的人工神经网络。
By comparison, LVQ network was better than the others in classification ability and training cost, and PNN network in computation load and easy use.
比较而言，学习矢量量化网络在分类能力和训练成本方面更胜一筹，而概率神经网络则在计算负载和易用性方面更好一些。
Based on the online inspection data of various soluble gases, an integrated technology of GM (1, 1) and PNN is introduce into the online fault diagnosis.
根据各溶解气体的在线监测数据，采用灰色GM(1,1)和PNN融合技术进行在线故障诊断。
By comparison, LVQ network and PNN network are better than BPN network in classification ability, and PNN network is better than the others in computation load.
比较而言，学习矢量量化网络和概率神经网络在分类能力方面要比反向传播网络好一些，概率神经网络在计算负载方面比学习矢量量化网络要更胜一筹。
The results show that the identification accuracy of the PNN is better than that of the traditional BP network, and the adaptive PNN is better than the basic PNN.
研究发现，运用PNN进行结构损伤识别精度要优于传统的BP网络，而且自适应PNN要比基本的PNN精度高。
Probabilistic Neural Networks (PNN) is improved and used on line to estimate the states of singular perturbed systems, especially to the fast states of the systems.
将改进的概率神经网络(PNN)用于奇异摄动系统的实时状态估计，注重针对系统快变部分的滤波。
The PNN applies the linear nodes and threshold nodes to make the modes assortment, and converts the exact variates in input analytical space to variates in output FUZZY space.
利用线性节点及阈值节点进行模式分类，将输入空间的精确变量转换为输出模糊空间的变量。
Mainly researched was the effect on properties of PMN-PNN-PZT piezoelectric ceramics for different synthesizing process named precursor synthesis and oxide compound synthesis.
研究了前驱体合成(又称铌铁矿合成)与传统的氧化物混合合成，对PMN - PNN -PZT四元系压电陶瓷性能的影响。
A probability multiplication formula was used as the theoretical foundation. The PNN structure was optimized based on statistical results from the PCA for the training samples.
以概率乘法公式为理论依据，根据训练样本的PC A结果对PNN进行结构优化，并引入学习算法减小pnn的参数不确定性。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
In the process of application of Improved BP algorithm in PNN, the input functions and the network weight functions are represented as expansion of a same orthogonal function basis.
在改进BP算法与网络训练的结合过程中，权函数及输入函数皆被用同一正交基函数展开。
The PNN structure was optimized based on statistical results from the PCA for the training samples. A learning algorithm was introduced into the PNN to reduce uncertainties parameter.
以概率乘法公式为理论依据，根据训练样本的PCA结果对PNN进行结构优化，并引入学习算法减小PNN的参数不确定性。
Four patterns set up for interpretation platform, process mode of SIGMA curve and four quantitative interpretation modules have formed specific characteristics of PNN logging interpretation.
PNN解释测井解释平台设置的四种模式SIGMA曲线处理方式和四种定量解释模块形成了PNN测井解释的独到之处。
Probabilistic neural network is good at classifying, we proposed a new method for aeroengine fault diagnosis based on PNN, and it can diagnose three typical aeroengine rotor fault accurately.
鉴于概率神经网络良好的分类性能，提出一种基于PNN的飞机发动机故障诊断方法，成功对三种典型飞机发动机转子故障做出了正确诊断。
Probabilistic neural network is good at classifying, we proposed a new method for aeroengine fault diagnosis based on PNN, and it can diagnose three typical aeroengine rotor fault accurately.
鉴于概率神经网络良好的分类性能，提出一种基于PNN的飞机发动机故障诊断方法，成功对三种典型飞机发动机转子故障做出了正确诊断。
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