Title: Fathoming Linear Forecasting Models
Authors: Hugo Siqueira, Marcella Martins, Murilo Leme, Sergio Stevan, Flavio Trojan
Abstract: This work presents and discusses a proposal to optimize parameters of general linear forecasting models using immune algorithms. After the technical discussion, the authors analyze a selection of relevant simulation results generated with a class of time series of high practical relevance: seasonal streamflow series.
Key-words: Immune Algorithms, Time Series Forecasting, Linear Models
DOI code: 10.21528/CBIC2019-38
PDF file: CBIC2019-38.pdf
BibTeX file: CBIC2019-38.bib