Probabilistic neural network model and its application in evaluation of the water quality near the dam area of three gorges reservoir 概率神经网络水质评价模型及其对三峡近坝水域的水质评价分析
But the results have shown that the hmm neural network can work successfully on the recognition of handwritten characters 但是我们的试验结果表明，概率神经网络可以成功的用于联机手写字符的识别问题。
Finally , probabilistic neural network was employed to identify the vinegars , and the accuracy of pnn in term of predicting the vinegars was very high 利用概率神经网络对所测试的食醋进行了识别，有较高的识别率。
Principal component analysis ( pca ) , cluster analysis ( ca ) and probabilistic neural network ( pnn ) were used in the data analysis and pattern recognition 并通过主元分析、聚类分析和概率神经网络对数据进行了分析和识别。
Probabilistic neural network ( pnn ) is a classification network , which is based on bayesian decision theory and probability function estimation theory D . f . specht提出的概率神经网络( probabilisticneuralnetwork , pnn )是基于密度函数估计和贝叶斯决策理论而建立的一种分类网络
This paper analyzed the strong relationship between color features and human sensations and showed how high - level emotional representation of painting can be inferred form perceptual level features suited for the particular classes ( elegance vs . flaring ) 分析了服装图像的颜色特征与情感之间的相关性,采用概率神经网络作为分类算法来完成情感语义分类。
Conclusion can be drawn from the researches in this paper that probability neural network is efficient to judge damage location approximately , and that radial basis functions network is an excellent tool for structural damage diagnosis 根据本文的研究可以得知，概率神经网络可以很好的用于结构损伤大致定位，而径向基网络则是一种良好的结构损伤诊断工具。
Compared with other people ' s work , we focus on recognizing characters with combination of hmm and neural networks . it makes use of the good performance of neural networks , and avoid the limitation that neural networks are not good at performing the real - time work 与其他学者的一些工作相比，本文侧重于对使用概率神经网络的方法对联机手写进行识别，既利用了神经网络优异的分类性能，又避免了一般的神经网络实时性差的弱点。
Secondly , the paper proposes probabilistic neural networks ( pnn ) methods of speaker identification , and thoroughly researches the models , training algorithms , real - time fabric , noise robustness and network structure of pnn . ( 1 ) the heteroscedastic pnn model with training algorithms that is a mixture of gaussian basis functions having different variances is considered 其次，在对说话人辨认分类器的特性进行深入分析的基础上，本文提出了概率神经网络说话人辨认方法，并就概率神经网络的模型、训练算法、实时性、噪声鲁棒性、网络结构改进等方面进行了深入研究。
The fist step is to judge the damaged sub - area of the structure , which is divided into several sub - areas , using probability neural networks with neural frequencies shift ratio input , and the next step is to diagnose the exact damage location and extent using rbf neural network with the second element end strain mode of the damaged sub - area input 即按照先查找结构损伤区域，后进行损伤位置与程度诊断的思想，首先将结构分为若干个子区域，根据结构损伤前后的自振频率变化比，应用概率神经网络，进行结构损伤子区域的判定。然后，根据损伤子区域内的应变模态变化，应用径向基神经网络诊断结构的损伤位置与程度。
