## Abstract Methods of time series forecasting are proposed which can be applied automatically. However, they are not rote formulae, since they are based on a flexible philosophy which can provide several models for consideration. In addition it provides diverse diagnostics for qualitatively and qu
Evolutive design of ARMA and ANN models for time series forecasting
β Scribed by Juan J. Flores; Mario Graff; Hector Rodriguez
- Book ID
- 113874655
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 301 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0960-1481
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## Abstract Forecasting for nonlinear time series is an important topic in time series analysis. Existing numerical algorithms for multiβstepβahead forecasting ignore accuracy checking, alternative Monte Carlo methods are also computationally very demanding and their accuracy is difficult to contro