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probabilistic neural network造句

"probabilistic neural network"是什么意思   

例句与造句

  1. structural damage localization using probabilistic neural network
    用概率神经网络进行结构损伤位置识别
  2. structural damage detection based on adaptive probabilistic neural network
    自适应概率神经网络结构损伤检测
  3. fuzzy probabilistic neural network water quality evaluation model and its application
    模糊概率神经网络水质评价模型及其应用
  4. application of probabilistic neural network in text-independent speaker identification
    概率神经网络在文本无关说话人识别中的应用
  5. radial basis function based probabilistic neural network in arrhythmia classification
    基于径向基函数概率神经网络的心律失常自动识别
  6. It's difficult to find probabilistic neural network in a sentence. 用probabilistic neural network造句挺难的
  7. improving the recognition rate of eeg in bci based on genetic algorithm and probabilistic neural network
    基于遗传算法和概率神经网络提高脑机接口中脑电信号识别率
  8. delineation of coastal region of south china-with matlab to create radial basis probabilistic neural network
    华南沿海潜在震源区划分运用matlab径向基概率神经网络工具箱求解
  9. 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
  10. 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。
  11. 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。
  12. 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
  13. two spatially registered images with different focuses are decomposed into several blocks . then, three features reflecting the clear level of every block, i . e ., spatial frequency, visibility, and edge, are calculated . finally, artificial neural networks, i . e ., multilayer-perceptron, radial-basis function, probabilistic neural network, are used to recognize the clear level of the corresponding blocks to decide which blocks should be used to construct the fusion result
    具体实现过程概述如下:首先将两幅(或多幅)配准图象进行分块处理,提取两幅图象中对应块的能反映图象清晰度的三种特征,即空间频率、可见度和边缘,将特征归一化后送入训练好的神经网络进行识别,根据得到的结果依据“谁清晰谁保留”的原则构成融合的图象。
  14. 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。
  15. the main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed; the xor problem is implemented by using pnn . a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons . simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn
    本文主要分析了pnn隐层神经元个数,隐中心矢量,平滑参数等要素对网络分类效果的影响,并用pnn实现了异或逻辑问题;提出了一种新的pnn有监督学习算法:用学习矢量量化对各类训练样本进行聚类,对平滑参数和距离各类模式中心最近的聚类点构造区域,并采用遗传算法在构造的区域内训练网络,实验表明:该算法在分类效果上优于其它pnn学习算法
  16. these coherent processors can fulfill arbitrary complex parameters . chapter 4 puts forward two deinterleaving methods based on probabilistic neural network ( pnn ) . the self-organization pnn deinterleaver is suitable for unknown emitters, while the rbpnn deinterleaver is suitable for known emitters
    神经网络用于脉冲列去交错是国内外一直关注的解决方案,论文第四章讨论了基于概率的分类原理,提出了两种概率神经网络脉冲去交错器结构,分别适用于未知辐射源及具有先验信息辐射源两种情况。
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相邻词汇

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Last modified time:Tue, 12 Aug 2025 00:29:56 GMT