| タイトル | Use of simulated neural networks of aerial image classification |
| 著者（英） | Vasquez, Ramon; Medina, Frances I. |
| 著者所属（英） | NASA Headquarters |
| 発行日 | 1991-01-01 |
| 言語 | eng |
| 内容記述 | The utility of one layer neural network in aerial image classification is examined. The network was trained with the delta rule. This method was shown to be useful as a classifier in aerial images with good resolution. It is fast, it is easy to implement, because it is distribution-free, nothing about statistical distribution of the data is needed, and it is very efficient as a boundary detector. |
| NASA分類 | CYBERNETICS |
| レポートNO | 92A39379 |
| 権利 | Copyright |
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