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

.....3 小波神经网络的时间序列预测-短时交通流量预测\d_mymorlet.m

..................................................\mymorlet.m

..................................................\traffic_flux.mat

..................................................\wavenn.asv

..................................................\wavenn.m

.....4 模糊神经网络的预测算法-嘉陵江水质评价\data1.mat

............................................\data2.mat

............................................\FuzzyNet.m

.....5 广义神经网络的聚类算法-网络入侵聚类\FCMGRNN.m

..........................................\netattack.mat

.....6 粒子群算法的寻优算法-非线性函数极值寻优\fun.m

..............................................\PSO.m

..............................................\PSOMutation.m

.....7 遗传算法的优化计算—