Evolving sparsely connected neural networks for multi-step ahead forecasting

Time Series Forecasting (TSF) is an important tool to sup- port decision making. Artificial Neural Networks (ANN) are innate candidates for TSF due to advantages such as nonlin- ear learning and noise tolerance. However, the search for the best ANN is a complex task that highly affects the forecast-...

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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
estimation distribution algorithm
forecasting
multilayer perceptron
time series
Texto completo:http://hdl.handle.net/1822/14848
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/14848

Texto Completo

http://hdl.handle.net/1822/14848

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