Comparison of Feedforward and Recurrent Neural Network in Forecasting Chaotic Dynamical System
Artificial neural networks are commonly accepted as a very successful tool for global function approximation. Because of this reason, they are considered as a good approach to forecasting chaotic time series in many studies. For a given time series, the Lyapunov exponent is a good parameter to c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Akademik Bilişim Araştırmaları Derneği
2019-04-01
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| Series: | Online Academic Journal of Information Technology |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/ajit-e/issue/54416/740653 |