Nonlinear Autoregressive Model (NARX) of Stationary Forbush Decrease Indices Based on Levenberg-Marquardt Feedback Algorithm
Abstract
Artificial 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.
- Publication:
-
Long-term Datasets for the Understanding of Solar and Stellar Magnetic Cycles
- Pub Date:
- February 2018
- DOI:
- 10.1017/S1743921318001990
- Bibcode:
- 2018IAUS..340..323P
- Keywords:
-
- ANN;
- Autoregressive;
- Adaptive L-M algorithm;
- Short Term Prediction & MSE