Cross validation using the method of artificial neural network models.

cross validation
................\avg_distortion.m
................\calculate_prediction_accuracy.m
................\centroid.m
................\classifierANN.m
................\combine5.m
................\divideset.m
................\eigdec.m
................\feat_selBW.m
................\feat_selFW.m
................\get_features.m
................\GLAcdbk.m
................\image_encode.m
................\logit.m
................\lo_like.m
................\main_PCA.m
................\main_VQ.m
................\main_VQ_PCA.m
................\my_distance.m
................\normalize.m
................\ols.m
................\partition.m
................\pca.m
................\readme.txt
................\result-5-8-06.txt
................\second_max.m
................\Sum_distance.m
................\VQ_WithoutPCA.m

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