Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling

Chaotic time series are widely present in practice, but due to their characteristics—such as internal randomness, nonlinearity, and long-term unpredictability—it is difficult to achieve high-precision intermediate or long-term predictions. Multi-layer perceptron (MLP) networks are an effective tool...

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Detalles Bibliográficos
Autores principales: Qiao, Mu, Liang, Yanchun, Tavares, Adriano, Shi, Xiaohu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378385/
https://www.ncbi.nlm.nih.gov/pubmed/37509920
http://dx.doi.org/10.3390/e25070973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378385/
https://www.ncbi.nlm.nih.gov/pubmed/37509920
http://dx.doi.org/10.3390/e25070973

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