Using genetic programming to improve the group method of data handling in time series prediction

Statistical Data Mining and Knowledge Discovery

Volumn , Issue , 2003, Pages 257-268

  Hiassat, Mutasem ^a   Abbod, M F ^a   Mort, N ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

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EID: 85057424469     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (12)

1. Billings, S.A. (1980). Identification of non-linear systems - a survey, IEE Proceedings D. Control Theory and Applications, Vol. 127, Iss. 6, pp 272-285.
2. Chappell, D., Padmore, J., Mistry, P., and C. Ellis (1995). A threshold model for the French Franc/Deutschmark exchange rate, Journal of Forecasting, Vol. 15, No. 3, pp 155-164.
3. Chen, C. H. (1994). Neural Networks for Financial market prediction, IEEE International Conference on Neural Networks, 7, 1199-1202.
4. Deboeck, G. (Ed.) (1994). Trading of the edge: Neural, genetic, and fuzzy systems for chaotic financial markets. John Wiley and Sons, New York.
5. Episcopos, A. and Davis, J. (1995). Predicting returns on Canadian Exchange Rates with Artificial Neural Networks and EGARCH-M Models. In Neural Networks Financial Engineering, Proceedings of the third International Conference on Neural Networks in the Capital Markets, Refenes, A-P.N., Abu-Mostafa, Y., Moody, J. and Weigend, A. (Eds.), London, World Scientific, Singapore, 135-145.
6. Hayashi, I. and Tanaka, H. (1990). The fuzzy GMDH algorithm by possibility models and its application. Fuzzy Sets and Systems 36. 245-258.
7. Holland, J. H. (1975). Adaption in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI.
8. Ikeda S., Ochiai, M. and Sawaragi.Y. (1976). Sequential GMDH algorithm and its application to river flow prediction. IEEE Transaction on Systems, Man and Cybernetics, July, 1976.
9. Ivakhnenko, A. G., (1968). The Group Method of Data Handling-A rival of the method of stochastic approximation. Soviet Automatic Control, vol 13 c/c of Av-tomatika, 1, 3, 43-55.
10. Koza, J. R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge.
11. Parks, P., Ivakhnenko, A. G., Boichuk, L. M. and Svetalsky, B. K. (1975). A selforganizing model of British economy for control with optimal prediction using the Balance-of-Variables criterion. Int. J. of Computer and Information Sciences, vol 4, No. 4.
12. nd Asian Control Conference, Seoul, Korea, July 22-25, vol. 3, pp 115-118.