Adaptive neural network classifier for extracted invariants of handwritten digits
We propose an adaptive activation function of neural network classifier for isolated handwritten digits that undergo basic transformations. The utilized network is a backpropagation network with sigmoid and arctangent activation functions. The performance of network with both activation functions is...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
UUM PRESS, Universiti Utara Malaysia
2004
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/28194/ http://jict.uum.edu.my/index.php/previous-issues/131-journal-of-information-and-communication-technology-jict-vol-3-no-1-june-2004 |
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