ARMA-CIGMN - A neural network model for time series - Softcover

Flores, João Henrique Ferreira; Engel, Paulo Martins

Softcover

ISBN 10: 3659798843 ISBN 13: 9783659798849

Verlag: LAP LAMBERT Academic Publishing, 2015

Inhaltsangabe

This book presents a new model of neural network for time series analysis and forecasting: the ARMA-CIGMN (Autoregressive Moving Average Classical Incremental Gaussian Mixture Network) model and its analysis. This model is based on modifications made to a reformulated IGMN, the Classical IGMN (CIGMN). The CIGMN is similar to the original IGMN, but based on a classical statistical approach. The modifications to the IGMN algorithm were made to better fit it to time series. The ARMA-CIGMN model demonstrates good forecasts and the modeling procedure can also be aided by known statistical tools as the autocorrelation (acf) and partial autocorrelation functions (pacf), already used in classical statistical time series modeling and also with the original IGMN algorithm models. The ARMA-CIGMN model was evaluated using known series and simulated data.

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Biografía del autor

João H. F. Flores, Dr: Associate Professor at Instituto de Matemática e Estatística, UFRGS, Porto Alegre, Brazil. Fields of study: time series, neural networks, linear and nonlinear regression.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2015
• ISBN 10: 3659798843
• ISBN 13: 9783659798849
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 128
• Kontakt zum Hersteller: Nicht verfügbar