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主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而
可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别
层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in a
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将pca和elman神经网络结合起来,找到了主要的变量-The PCA and the Elman neural network to combine to find the main variables
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先运用pca找到主要的影响变量,然后用rbf神经网络建模-First use PCA to find the impact of major variables, and then use the rbf neural network modeling
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PCA主元分析后用神经网络预测,A/S含量,PCA算法实现,与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
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用基于Oja准则的PCA神经网络方法实现MUSIC算法,完成DOA估计 -Oja-based guidelines for the PCA neural network method MUSIC algorithm, the completion of the estimated DOA
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(压缩包里一共有5个代码)
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维,再用lda进行特征提取,得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m),得到离散化矩阵disdata,存入到imagedisdata.mat
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基于matlab 的神经网络计算,解压缩后直接运行
-Matlab neural network-based computing, unzip it and directly run
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1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
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We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
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本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face d
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用神经网络中的PCA算法对人脸图像进行压缩及恢复-PCA with a neural network algorithm for image compression on the face and back
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One of Biometrics fields is face recognition & face expression recognition ...
1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
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LVQ神经网络的预测——人脸识别 LVQ神经网络的预测——人脸识别-LVQ neural network forecasting- LVQ neural network prediction Face- Face Recognition
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完整的包括皮肤及动作识别的C++人脸检测源代码,涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down m
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PCA neural network Matlab code
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matlab下采用som神经网络算法进行100个人脸识别,可扩展性强。-som neural network using matlab under 100 face recognition algorithm, scalability.
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pca 神经网络 求样本协方差矩阵的特征值和特征向量 样本的均值化为零-pca neural network seeking sample covariance matrix of the eigenvalues and eigenvectors of the sample mean of zero
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基于PCA-BP神经网络的接地网故障诊断算法-Ground Fault diagnosis algorithm PCA-BP neural network
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This folder contains the following sub-folders which are essential in our project:
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel
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PCA Neural Network System
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