no code implementations • 17 Jul 2022 • Dawei Dai, Donggen Li, Zhiguo Zhuang
In this paper, we pioneered a granular ball neural network algorithm model, which adopts the idea of multi-granular to filter label noise samples during model training, solving the current problem of model instability caused by label noise in the field of deep learning, greatly reducing the proportion of label noise in training samples and improving the robustness of neural network models.