Unsupervised neural method for temperature forecasting

Artificial Intelligence in Engineering

Volumn 13, Issue 4, 1999, Pages 351-357

  Corchado, J M ^a   Fyfe, C ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; MATHEMATICAL MODELS; OCEANOGRAPHY; REAL TIME SYSTEMS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

LINEAR REGRESSION; NEGATIVE FEEDBACK ARTIFICIAL NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 0033349135     PISSN: 09541810     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0954-1810(99)00007-2     Document Type: Article

References (10)

1. Tomczak M., Godfrey J.S. Regional oceanography: an introduction. ISBN: 0080410219:1994;Pergamon, New York.
2. Corchado J, Fyfe C, Lees B, García R. Multi agent adaptive architecture for forecasting, SOCO'97, 1997:94-100.
3. Venugopal V., Baets W. Marketing Intelligence and Planning. 122:(7):1994;30-38.
4. Weigend A.S., Gershenfeld N.A. Time series prediction: Forecasting the future and understanding the past. Santa Fe Institute Studies in the Sciences of Complexity. 1995;Addison-Wesley, Reading, MA.
5. Fyfe C. An unsupervised neural method for time series analysis, Characterisation and prediction, ICANNGA, 1997;464-467.
6. Geman S., Bienenstock E., Doursat R. Neural networks and the bias/variance dilemma. Neural Computation. 4:(2):1992;1-58.
7. Pankratz A. Forecasting with dynamic regression models. 1983;Wiley/Interscience, New York.
8. Lees B, Aiken J, Rees N. Knowledge based oceanographic data analysis, Expersys-92, 1992:561-566.
9. Box G.E.P., Jenkins G.M. Time series analysis: forecasting and control. Review edition:1976;Holden-Day, San Francisco, CA.
10. Vandaele W. Applied time series and box-Jenkins models. 1983;Academic Press, New York.