Backtesting Recurrent Neural Networks with Gated Recurrent Unit: Probing with Chilean Mortality Data

Bravo, J. M., & Santos, V. (2022). Backtesting Recurrent Neural Networks with Gated Recurrent Unit: Probing with Chilean Mortality Data. In M. V. Garcia, F. Fernández-Peña, & C. Gordón-Gallegos (Eds.), (pp. 159-174). [9] (Lecture Notes in Networks and Systems; Vol. 433). Springer. https://do...

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Detalhes bibliográficos
Autor principal: Bravo, Jorge M. (author)
Outros Autores: Santos, Vitor (author)
Formato: bookPart
Idioma:eng
Publicado em: 2022
Assuntos:
Recurrent Neural Networks (RNN)
Mortality modelling and forecasting
Life insurance
Backtesting
Control and Systems Engineering
Signal Processing
Computer Networks and Communications
SDG 3 - Good Health and Well-being
Texto completo:http://hdl.handle.net/10362/139579
País:Portugal
Oai:oai:run.unl.pt:10362/139579

Texto Completo

http://hdl.handle.net/10362/139579

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