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用BP算法实现人脸识别,其中包含了c++，和记事本类型的源代码-use Back Propagation algorithm to realize face recognition
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NN neural network for face recognition
supervised feed forward back propagation neural network
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face recognition through training back propagation in neural nets
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face recognition..matlab code for learing,testing,training..with back propagation neural network..with biosand without bios coding
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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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多层前向反馈式神经网络是目前应用比较广泛的人工神经网络，其中BP(Back Propagation network，简称BP网络)学习算法是最著名的多层前向反馈式神经网络训练算法之一。该算法在图像处理和图像识别领域已经取得令人瞩目的成就，其主要思想是利用已知确定结果的样本模式对网络进行训练，然后利用训练好的网络进行图像的处理或识别。本文将讨论用MATLAB实现BP神经网络对人脸角度的分析。 -Multilayer feedforward neural network feedback is us
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是一种双隐层反向传播神经网络，正确率可以达到98％，人脸识别中的光照处理方法。- Is a two hidden layer back propagation neural network, Accuracy can reach 98 , Face Recognition light treatment method.
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未来线路预测,分析误差,是一种双隐层反向传播神经网络，人脸识别中的光照处理方法。- Future line prediction, error analysis, Is a two hidden layer back propagation neural network, Face Recognition light treatment method.
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Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
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Gabor小波变换与PCA的人脸识别代码，是一种双隐层反向传播神经网络，包括轨道机动仿真、初轨计算。- Gabor wavelet transform and PCA face recognition code, Is a two hidden layer back propagation neural network, Including orbital maneuvering simulation, initial orbit calculation.
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