Development of node-decoupled extended Kalman filter (NDEKF) training method to design neural network diagnostic/prognostic reasoners

2004 ◽  
Author(s):  
Kenichi Kaneshige ◽  
Xudong Wang ◽  
Mark Saewong ◽  
Vassilis Syrmos
Keyword(s):  
Neural Network ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Training Method

scholarly journals Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks

2021 ◽  
Author(s):  
Laurin Luttmann ◽  
Paolo Mercorelli
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Simulated Data ◽  
Second Order ◽  
Classification Task ◽  
Training Method ◽  
Speed Of Convergence ◽  
Backpropagation Algorithm

This work describes and compares the backpropagation algorithm with the Extended Kalman filter, a second-order training method which can be applied to the problem of learning neural network parameters and is known to converge in only a few iterations. The algorithms are compared with respect to their effectiveness and speed of convergence using simulated data for both, a regression and a classification task.

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