Estimation of higher-order spectra using a nonlinear autoregressive model based on a layered neural network

1997 ◽  
Vol 80 (5) ◽  
pp. 75-84
Author(s):  
Naohiro Toda ◽  
Shiro Usui
Keyword(s):  
Neural Network ◽  
Autoregressive Model ◽  
Higher Order ◽  
Model Based ◽  
Nonlinear Autoregressive Model ◽  
Higher Order Spectra ◽  
Nonlinear Autoregressive

Nonlinear Autoregressive Model (NARX) of Stationary Forbush Decrease Indices Based on Levenberg-Marquardt Feedback Algorithm

2018 ◽  
Vol 13 (S340) ◽  
pp. 323-324
Author(s):  
Sankar Narayan Patra ◽  
Subhash Chandra Panja ◽  
Amrita Prasad ◽  
Soumya Roy ◽  
Koushik Ghosh
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Autoregressive Model ◽  
Forbush Decrease ◽  
Short Term ◽  
Levenberg Marquardt ◽  
Nonlinear Autoregressive Model ◽  
Feedback Algorithm ◽  
Short Term Prediction ◽  
Nonlinear Autoregressive

AbstractArtificial Neural Network based Nonlinear Autoregressive Model is designed to reconstruct and predict Forbush Decrease (FD) Data obtained from Izmiran, Russia. Result indicates that the model seems adequate for short term prediction of the FD data.

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