Error-Based Noise Filtering During Neural Network Training
The problem of dealing with noisy data in neural network-based models has been receiving more attention by researchers with the aim of mitigating possible consequences on learning. Several methods have been applied by some researchers to enhance data as a pre-process of training while other research...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9178278/ |