Nonlinear Inverse System Self-learning Control Based on Variable Step Size BP Neural Network

2009 ◽  
Author(s):  
QingRu Li ◽  
PeiFeng Wang ◽  
LiZhuang Wang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Learning Control ◽  
Inverse System ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step ◽  
Self Learning

scholarly journals An Adaptive Fuzzy Neural Network Based on Progressive Gaussian Approximate Filter with Variable Step Size

2021 ◽  
Keyword(s):  
Neural Network ◽  
Full Text ◽  
Fuzzy Neural Network ◽  
Variable Step Size ◽  
Step Size ◽  
Adaptive Fuzzy Neural Network ◽  
Adaptive Fuzzy ◽  
Variable Step ◽  
Fuzzy Neural

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

Nonlinear Noise Canceller by Neural Network with Variable Step Size

2013 ◽  
Vol 433-435 ◽  
pp. 709-712
Author(s):  
Shou Zhong Zhang
Keyword(s):  
Neural Network ◽  
Variable Step Size ◽  
Signal To Noise ◽  
Step Size ◽  
Nonlinear Correlation ◽  
Transversal Filter ◽  
Interference Noise ◽  
Variable Step ◽  
Nonlinear Noise ◽  
Simulation Results

Neural network is acted as noise canceller to implement noise cancel under the condition of interference noise has nonlinear correlation to reference noise. If interference noise has nonlinear correlation to reference noise, the transversal filter has weak effect to cancel the noise in the signal. Neural network has nonlinear characteristic transfer and can solve this problem, and a new variable step size algorithm is proposed to further improve the performance. Computer simulation results show that neural network noise canceller has better signal to noise gain for nonlinear noise.

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