Reconstruction of Chaotic Attractor for Fractional-order Tamaševi�ius System Using Recurrent Neural Networks

• Main Authors: Bingi, K., Devan, P.A.M., Hussin, F.A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123629486&doi=10.1109%2fANZCC53563.2021.9628225&partnerID=40&md5=f6d9bcd83b5dc265e08eb21e683b536b; http://eprints.utp.edu.my/29245/

In this paper, a forecasting model using recur-rent neural networks (RNN) for reconstructing the chaotic fractional-order Tamaševi�ius system states has been developed. The attractiveness of the proposed model is in the developed relationships between inputs, which are state variables, and outputs...