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

Author(s):

Nader Biranvand* , AmirHossein Hadian Rasanan , Ali Khalili , Jamal Amani Rad

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
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 , Datadriven discovery

Language:
English
Published:
International Journal Of Nonlinear Analysis And Applications, Volume:12 Issue: 1, Winter-Spring 2021
Pages:
189 to 201
https://www.magiran.com/p2261208  
سامانه نویسندگان
  • Khalili، Ali
    Author (3)
    Khalili, Ali
    Assistant Professor information technology,
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)