EMSGD: An Improved Learning Algorithm of Neural Networks With Imbalanced Data

EMSGD: An Improved Learning Algorithm of Neural Networks With Imbalanced Data

In this paper, the influence of data imbalance on neural networks is discussed, and an improved learning algorithm to solve this problem is proposed. The experimental results show that in the case of imbalanced data, the training error of neural network converges slowly and the generalization abilit...

Full description

Bibliographic Details
Main Authors: Qian Ya-Guan, Ma Jun, Zhang Xi-Min, Pan Jun, Zhou Wu-Jie, Wu Shu-Hui, Yun Ben-Sheng, Lei Jing-Sheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data imbalance
back propagation algorithm
stochastic gradient descent
Online Access:https://ieeexplore.ieee.org/document/9055020/

Internet

https://ieeexplore.ieee.org/document/9055020/

Similar Items