Reconstruction of Chaotic Attractor for Fractional-order Tamaševi�ius System Using Recurrent Neural Networks
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...
| Main Authors: | Bingi, K., Devan, P.A.M., Hussin, F.A. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29245 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| 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/ |
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