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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Bibliographic Details
Main Author: Cortez, Paulo (author)
Other Authors: Rocha, Miguel (author), Allegro, Fernando Sollari (author), Neves, José (author)
Format: conferencePaper
Language:eng
Published: 2002
Subjects:
Artificial Neural Networks
Exponential Smoothing
Genetic and Evolutionary Algorithms
Real-Time Forecasting
Time Series
Online Access:http://hdl.handle.net/1822/352
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/352

Internet

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

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