Pretrained back propagation based adaptive resonance theory network for adaptive learning
The deep convolutional neural network performs well in current computer vision tasks. However, most of these models are trained on an aforehand complete dataset. New application scenario data sets should be added to the original training data set for model retraining when application scenarios chang...
| الحاوية / القاعدة: | Journal of Algorithms & Computational Technology |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
SAGE Publishing
2023-10-01
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| الوصول للمادة أونلاين: | https://doi.org/10.1177/17483026231205009 |