Frequency adaptive learning SOFM for grayscale image compression
A new learning algorithm is proposed where the learning constant is based on the localized winning frequency of each individual neuron. Blocks of sub-image are fed in a butterfly-jumping sequence during the training process. Untrained neurons are also re-initialized.
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| 格式: | Theses and Dissertations |
| 出版: |
2008
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/3336 |
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