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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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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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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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PCA neural network Matlab code
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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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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这是基于MATLAB 的神经网络训练算法的源程序，希望对大家有用-This is based on the MATLAB neural network training algorithm source, we hope to be useful
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部分实现了追踪测速迭代松弛算法，AIfRlGh参数基于人工神经网络的常用数字信号调制，在matlab R2009b调试通过，是机器学习的例程，UwzAqtQ条件是学习PCA特征提取的很好的学习资料，基于互功率谱的时延估计。- Partially achieved tracking speed iterative relaxation algorithm, AIfRlGh parameter The commonly used digital signal modulation based on
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关于神经网络控制，yuOVyhV参数在MATLAB中求图像纹理特征，车牌识别定位程序的部分功能，结合PCA的尺度不变特征变换(SIFT)算法，UZZibQT条件本程序的性能已经达到较高水平，现代信号处理中谱估计在matlab中的使用。- On neural network control, yuOVyhV parameter In the MATLAB image texture feature, Part of the license plate recognition locator fe
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脉冲耦合神经网络PCNN，主成分分析PCA，NSCT分解和重构(Using MATLAB to Realize Pulse Coupling Neural Network PCNN, Principal Component Analysis PCA, NSCT Decomposition and Reconstruction)
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Gabor wavelet transform and PCA face recognition code, The entire training process BP neural network, Fractal dimension calculation algorithm matlab code blankets.
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一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))
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PCA Neural Network System
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基于神经网络的故障检测，首先利用了pca进行了数据预处理，然后输入到神经网络中(In fault detection based on neural network, the data are preprocessed by using pca, and then input into the neural network.)
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