文件名称:eg22-renliangchaoxiangshibie
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [Matlab] [源码]
- 上传时间：
- 2013-09-20
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- 4.89mb
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- 杨*
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《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！
-The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!
-The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!
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案例22 LVQ神经网络的预测——人脸朝向识别
........................................\chapter22_bp.m
........................................\chapter22_lvq.m
........................................\chapter_svm.m
........................................\crossvalind_lvq.m
........................................\feature_extraction.m
........................................\Images
........................................\......\10_1.bmp
........................................\......\10_2.bmp
........................................\......\10_3.bmp
........................................\......\10_4.bmp
........................................\......\10_5.bmp
........................................\......\1_1.bmp
........................................\......\1_2.bmp
........................................\......\1_3.bmp
........................................\......\1_4.bmp
........................................\......\1_5.bmp
........................................\......\2_1.bmp
........................................\......\2_2.bmp
........................................\......\2_3.bmp
........................................\......\2_4.bmp
........................................\......\2_5.bmp
........................................\......\3_1.bmp
........................................\......\3_2.bmp
........................................\......\3_3.bmp
........................................\......\3_4.bmp
........................................\......\3_5.bmp
........................................\......\4_1.bmp
........................................\......\4_2.bmp
........................................\......\4_3.bmp
........................................\......\4_4.bmp
........................................\......\4_5.bmp
........................................\......\5_1.bmp
........................................\......\5_2.bmp
........................................\......\5_3.bmp
........................................\......\5_4.bmp
........................................\......\5_5.bmp
........................................\......\6_1.bmp
........................................\......\6_2.bmp
........................................\......\6_3.bmp
........................................\......\6_4.bmp
........................................\......\6_5.bmp
........................................\......\7_1.bmp
........................................\......\7_2.bmp
........................................\......\7_3.bmp
........................................\......\7_4.bmp
........................................\......\7_5.bmp
........................................\......\8_1.bmp
........................................\......\8_2.bmp
........................................\......\8_3.bmp
........................................\......\8_4.bmp
........................................\......\8_5.bmp
........................................\......\9_1.bmp
........................................\......\9_2.bmp
........................................\......\9_3.bmp
........................................\......\9_4.bmp
........................................\......\9_5.bmp
........................................\lvq1_train.m
........................................\lvq2_train.m
........................................\lvq_predict.m
........................................\test.m