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Empirical validation of ELM trained neural networks for financial modelling

The purpose of this work is to compare predictive performance of neural networks trained using the relatively novel technique of training single hidden layer feedforward neural networks (SFNN), called Extreme Learning Machine (ELM), with commonly used backpropagation-trained recurrent neural network...

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Detalles Bibliográficos
Autores principales: Novykov, Volodymyr, Bilson, Christopher, Gepp, Adrian, Harris, Geoff, Vanstone, Bruce James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525949/
https://www.ncbi.nlm.nih.gov/pubmed/36212216
http://dx.doi.org/10.1007/s00521-022-07792-3