THE EFFECT OF RATIO BETWEEN TRAINING AND TESTING SET IN MODEL SELECTION FOR NEURAL NETWORKS CLASSIFICATION
Determining the l arge of sample size is highly context dependent. In ge neral, the larger the dimension of parameter, the larger sample size must be to obtain a given degree of approx imation. In m;my cases of NN application, the data set is randomly split into two muwally exclusive sub!&g...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
North Texas University
2006
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/32931/1/1.pdf |