Description: This book is about the use of artificial neural networks for supervised learning problems. Many such problems occur in practical applications of artificial neural networks. For example, a neural network might be used as a component of a face recognition system for a security appli-
cation. After seeing a number of images of legitimate users' faces, the network needs to determine accurately whether a new image corresponds to the face of a legitimate user or an imposter. In other applications, such as the prediction of future price of shares on the stock exchange, we may require a neural network to model the relationship between a pattern and a real-valued quantity. Platform: |
Size: 20091030 |
Author:kj5566 |
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Description: 卡内基梅隆大学,采用人工神经网络方法进行人脸训练和识别的c程序源代码,程序中注释比较详细,不多说了。-Carnegie Mellon University, artificial neural network method for training and Face Recognition c source code, procedures Notes in greater detail, not much to say. Platform: |
Size: 316416 |
Author:丹 |
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Description: 神经网络识别人脸。包含说明文件。可对不同人的不同姿态的摄影图像进行分类。-neural network recognition face. Includes note. To be different people different posture photographic image classification. Platform: |
Size: 11264 |
Author:代桂平 |
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Description: 基于神经元网络和 Linear Auto-Associative memory 和pca的人脸识别程序。-based on neural network and Linear Auto-Associative memory pca and face recognition procedures. Platform: |
Size: 5120 |
Author:王大宝 |
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Description: 神经网络bp算法源代码,各个部分的包括函数逼近,函数定义等的功能-Bp neural network algorithm source code, the various parts, including function approximation, function definition function Platform: |
Size: 16384 |
Author:ye |
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Description: 基于神经网络的人脸识别训练函数,非常有用,研究生优秀作品-Face recognition based on neural network training function, very useful, graduate outstanding works Platform: |
Size: 1024 |
Author:杨丹妮 |
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Description: 很好的关于人脸识别的毕业论文,从中国知网付费下载得到,《基于BP神经网络的人脸识别系统研究 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Based on BP Neural Network Face Recognition System" I hope useful to everyone. Platform: |
Size: 2015232 |
Author:赵洋洲 |
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Description: Genetic Algorithm and Neural Network for
Face Emotion Recognition. A document is suitable for people who researching about facial expression Identification Platform: |
Size: 424960 |
Author:Amila Pathirana |
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Description: (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
3.将disdata组成决策表(savers.m),通过对disdata的条件属性进行约简,得到其一个约简,组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m),对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati Platform: |
Size: 2048 |
Author:dong |
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Description: bp人工神经网络模式识别教程示例,研究人脸识别 手势识别有帮助-bp nervel network trainning and recognition ,e.g:face & dynamic hand gesture detection and face recognition .I hope it would be very useful for researcher ! Platform: |
Size: 44032 |
Author:于鱼 |
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Description: Face Recognition System Based on Different Artificial Neural Networks Models and Training Algorithms Platform: |
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Author:HansanaA |
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