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Matlab-Recognition-Project

109-02 NCU CE8009 Practice and Application of Pattern Recognition

PCA+LDA

IN 1024 OUT 20

BP

input layer: 20

hidden layer: 175 with logsig

tempdelta has another weight: 5

output layer: 40 (softmax) with tansig

Result

at total data set 400 records (40 tags)

half for train and the other half for test

train accuracy: 97.0%

test accuracy: 87.5%

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109-02 NCU CE8009 Practice and Application of Pattern Recognition (Matlab)

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