Deep inference: A convolutional neural networks method for parameter recovery of the fractional dynamics

Parameter recovery of dynamical systems has attracted much attention in recent years. The proposed methods for this purpose can not be used in real-time applications. Besides, little works have been done on the parameter recovery of the fractional dynamics. Therefore, in this paper, a convolutional neural network is proposed for parameter recovery of the fractional dynamics. The presented network can also estimate the uncertainty of the parameter estimation and has perfect robustness for real-time applications.

Keywords:

Convolutional Neural Network , Parameter estimation , Fractional Dynamics , Data driven discove