Author/Authors :
Biranvand, Nader Faculty of Sciences - Imam Ali University, Tehran, Iran , Hadian-Rasanan, Amir Hossein Department of Cognitive Modeling - Institute for Cognitive and Brain Sciences - Shahid Beheshti University, Tehran, Iran , Khalili, Ali Faculty of Engineering - Imam Ali University, Tehran Iran , Amani Rad, Jamal Department of Cognitive Modeling - Institute for Cognitive and Brain Sciences - Shahid Beheshti University, Tehran, Iran
Abstract :
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
