Prediction of Duffing Chaotic time series using focused time lagged recurrent neural network model
Sanjay L. Badjate, Sanjay Vasant Dudul · 2008
In this paper, a focused time lagged recurrent neural network (FTLRNN) model with gamma memory is developed for multi step ahead (k=1,5,10.20,50,100) prediction of typical Duffing Chaotic time series. It is popularized in Neural network field due to its richness in chaotic behavior.