Using Intelligent Optimization Methods to Improve the Group Method of Data Handling in Time Series Prediction
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[1] J. Padmore,et al. A threshold model for the French franc/deutschmark exchange rate , 1996 .
[2] Saburo Ikeda,et al. Sequential GMDH Algorithm and Its Application to River Flow Prediction , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[3] D. E. Goldberg,et al. Genetic Algorithms in Search , 1989 .
[4] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[5] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[6] C. H. Chen,et al. Neural networks for financial market prediction , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
[7] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[8] A. G. Ivakhnenko,et al. A self-organizing model of the British economy for control with optimal prediction using the balance-of-variables criterion , 2004, International Journal of Computer & Information Sciences.
[9] Guido Deboeck,et al. Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets , 1994 .
[10] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[11] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[12] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[13] H. Tanaka,et al. The fuzzy GMDH algorithm by possibility models and its application , 1990 .
[14] Jefferson T. Davis,et al. Predicting returns on Canadian exchange rates with artificial neural networks and EGARCH-M models , 1996, Neural Computing & Applications.