Adaptive neural network classifier for extracted invariants of handwriten 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...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | Article |
| 语言: | English |
| 出版: |
Universiti Utara Malaysia
2004
|
| 主题: | |
| 在线阅读: | http://repo.uum.edu.my/1039/1/L._H._kENG.pdf http://repo.uum.edu.my/1039/ http://jict.uum.edu.my |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|