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...
| Published in: | Journal of Algorithms & Computational Technology |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-10-01
|
| Online Access: | https://doi.org/10.1177/17483026231205009 |