Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises

Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises

This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and robustness to impulsive noises. The learning rates of the weights in each hidden layer are derived...

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Bibliographic Details
Main Authors: Dong Woo Kim, Min Su Kim, Jaeho Lee, Poogyeon Park
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adaptive learning rate
neural network
mean-square deviation
impulsive noises
Online Access:https://ieeexplore.ieee.org/document/9099323/

Internet

https://ieeexplore.ieee.org/document/9099323/

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