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基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the
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基于概率神经网络的数字语音识别matlab程序-probabilistic neural network based on the number of voice recognition procedures Matlab
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基于概率神经网络的数字语音识别matlab程序-probabilistic neural network based on the number of voice recognition procedures Matlab
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基于概率神经网络方法的识别程序,主要针对语音识别,matlab程序,值得参考.-probabilistic neural network-based method of identification procedures, voice recognition, Matlab procedures, a good reference.
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DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.
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Using Radial Basis Probabilistic Neural Network for Speech Recognition
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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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本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recogni
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matlab环境中 关于概率神经网络源代码 注意不是关于声音识别方面的-matlab environment, probabilistic neural network source code on the note is not about the voice recognition aspects
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结合DCT和概率神经网络进行人脸识别。先利用DCT提取特征，然后利用PNN分类，在ORL人脸库上测试效果不错。-The combination of DCT and probabilistic neural network for face recognition. First DCT Feature Extraction, and then use a PNN classification, good test results on the ORL face database.
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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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一个简易的基于概率神经网络的语音识别与训练系统-A simple probabilistic neural network-based speech recognition and training systems
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利用基于概率的神经网络识别算法，进行手写字体的识别。-By using the neural network recognition algorithm based on probability,recognition of handwritten font.
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基于概率神经网络的手写体数字识别，matlab实现，非常好的程序-Handwritten numeral recognition, probabilistic neural network based on MATLAB, a very good program
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应用主成分分析对数据降维，将得到的数据用于概率神经网络训练，进行模式识别。对于一组新数据，先计算主成分得分，再输入训练好的概率神经网络，就会得到识别结果，即改组数据属于何种类别。-Principal component analysis of the data reduction, data will be obtained for the probabilistic neural network training, pattern recognition. For a new set of d
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基于概率神经网络的手写体数字识别，程序可以运行，会显示识别率百分比-Handwritten digit recognition based on probabilistic neural network, the program can run, it displays the percentage recognition rate
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用matlab实现的基于概率神经网络的手写体数字识别程序，这是一个概率神经网络的实际应用-Using matlab to achieve based on probabilistic neural network handwritten numeral recognition program, which is the practical application of a probabilistic neural network
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《MATLAB神经网络原理与实例精解》中chap13的例子 基于概率神经网络的手写体数字识别-" MATLAB network principles and examples of fine nerve Solutions" in the example chap13- Based Probabilistic Neural Network handwritten numeral recognition
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基于概率神经网络的手写数字识别，利用概率神经网络识别1-9的手写数字，matlab程序(Handwritten numeral recognition based on probabilistic neural network)
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基于概率神经网络的手写体数字识别Matlab程序(Handwritten digital recognition Matlab program based on probabilistic neural network)
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