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Forecasting Nonlinear Chaotic Time Series with Function Expression Method Based on an Improved Genetic-Simulated Annealing Algorithm
The paper proposes a novel function expression method to forecast chaotic time series, using an improved genetic-simulated annealing (IGSA) algorithm to establish the optimum function expression that describes the behavior of time series. In order to deal with the weakness associated with the geneti...
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Publicado no: | Comput Intell Neurosci |
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Main Authors: | , , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Hindawi Publishing Corporation
2015
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4426662/ https://ncbi.nlm.nih.gov/pubmed/26000011 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/341031 |
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