Parallelization of an evolving artificial neural networks system to forecast time series using OPENMP and MPI
Time Series Forecasting (TSF) is a key tool to sup port decision making, for Instance by prodnclng better estimates to be nsed when planning prodnction resources. Artificial Neural Networks (ANN) are innate candidates for TSF due to advantages such as nonlinear learning and noise tolerance. The sea...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2012
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| Texto completo: | http://hdl.handle.net/1822/21466 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/21466 |