Real-Time Forecasting by Bio-Inspired Models

In recent years, bio-inspired methods for problem solving, such as Artificial Neural Networks (ANNs) or Genetic and Evolutionary Algorithms (GEAs), have gained an increasing acceptance as alternative approaches for forecasting, due to advantages such as nonlinear learning and adaptive search. The pr...

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Detalhes bibliográficos
Autor principal: Cortez, Paulo (author)
Outros Autores: Rocha, Miguel (author), Allegro, Fernando Sollari (author), Neves, José (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2002
Assuntos:
Artificial Neural Networks
Exponential Smoothing
Genetic and Evolutionary Algorithms
Real-Time Forecasting
Time Series
Texto completo:http://hdl.handle.net/1822/352
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/352

Texto Completo

http://hdl.handle.net/1822/352

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