Architecture Optimization of a Non-Linear Autoregressive Neural Networks for Mackey-Glass Time Series Prediction Using Discrete Mycorrhiza Optimization Algorithm

Recurrent Neural Networks (RNN) are basically used for applications with time series and sequential data and are currently being used in embedded devices. However, one of their drawbacks is that RNNs have a high computational cost and require the use of a significant amount of memory space. Therefor...

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Detalles Bibliográficos
Autores principales: Carreon-Ortiz, Hector, Valdez, Fevrier, Melin, Patricia, Castillo, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864806/
https://www.ncbi.nlm.nih.gov/pubmed/36677210
http://dx.doi.org/10.3390/mi14010149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864806/
https://www.ncbi.nlm.nih.gov/pubmed/36677210
http://dx.doi.org/10.3390/mi14010149

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