Evolving time-lagged feedforward neural networks for time series forecasting

Time Series Forecasting (TSF) is an important tool to sup- port both individual and organizational decisions. In this work, we propose a novel automatic Evolutionary Time- Lagged Feedforward Network (ETLFN) approach for TSF, based on an Estimation Distribution Algorithm (EDA) that evolves not only A...

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Detalhes bibliográficos
Autor principal: Peralta Donate, Juan (author)
Outros Autores: Cortez, Paulo (author), Gutierrez Sanchez, German (author), Sanchis de Miguel, Araceli (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2011
Assuntos:
Connectionism and neural nets
Hybrid systems
artificial neural networks
estimation distribution algorithm
forecasting
time series
Texto completo:http://hdl.handle.net/1822/14849
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/14849

Texto Completo

http://hdl.handle.net/1822/14849

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