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用matlab设计的概率神经网络，内附演示程序-using Matlab design of probabilistic neural network, enclosing Demonstration Program
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Classify using a probabilistic neural network
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PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1
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概率神经网络算法的matlab实验程序 可用于车牌识别 文字识别等模式识别问题-Probabilistic neural network algorithm matlab experimental procedure can be used for license plate recognition to identify issues such as character recognition
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嵌入式概率神经网络Ｃ算法实现，在LPC2200上长期运行成功，算法结果正确-Embedded C probabilistic neural network algorithm, the LPC2200 on a long-running success, the algorithm result is correct
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概率神经网络 分类预测 基于PNN变压器故障 诊断-Probabilistic neural network classifier prediction Transformer Fault Diagnosis Based on PNN
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PNN神经网络聚类法的MATLAB的源代码，自己编写的，很实用，希望对大家有所帮助。-PNN neural network clustering method for MATLAB source code, I have written, very practical, we want to help.
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pnn神经网络算法，通过训练后，可实现对电力变压器故障的分类-pnn neural network algorithm, by training, can be realized on the power transformer fault classification
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概率神经网络的分类预测-基于PNN变压器故障诊断，基于神经网络的matlab参考代码。-Probabilistic neural network classification prediction- PNN-based transformer fault diagnosis, based on neural network matlab reference code.
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I used the newpnn function to create a PNN, then used the sim
function to classify the the training data set, which was used to
create the neural network.
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概率神经网络PNN的MATLAB实现，有详细的说明-Probabilistic neural network PNN in MATLAB implementation, a detailed descr iption of
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此算法实现PNN神经网络的训练和检测功能-This algorithm PNN neural network training and testing functions
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本文将SOM（自组织特征映射）和PNN（概率）神经网络应用到柴油机故障诊断中，首先介绍了SOM和PNN神经网络的算法，然后对柴油机的故障进行了分析，并运用matlab进行了仿真，验证了实验结果。-This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduce
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概率神经网络的分类预测,基于PNN变压器故障诊断(Probabilistic neural network classification prediction based on PNN transformer fault diagnosis)
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采用概率神经网络进行变压器故障诊断，内含故障数据以及程序详尽程序注释(Using Probabilistic Neural Network for Transformer Fault Diagnosis, Containing Fault Data and Program Detailed Program Notes)
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概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(Probabilistic neural network was first proposed by Dr. D.F.Speeht in 1989. It is a branch of radial
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概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the fe
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自己研究了一些关于神经网络的算法，用matlab做的一些小测试，使用的是《matlab神经网络43个案例分析》这本书，感觉还不错，分享一下。
使用每行的前4个数据预测第5个数据的值(I have studied some algorithms about neural network, and I have done some small tests with MATLAB, using the 43 case analysis of MATLAB neural network. I feel
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基于pnn神经网络分类实现风机故障诊断，使用了互熵滤波器(Wind turbine fault diagnosis based on pnn neural network classification using a cross-entropy filter)
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RBF、GRNN和PNN神经网络课程，PPT，以及程序代码，希望对你有用！(RBF, GRNN and PNN neural network courses, PPT, and program code, I hope useful for you!)
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