A Genetic Algorithm Based Neural-Tuned Neural Network

IECON Proceedings (Industrial Electronics Conference)

Volumn 3, Issue , 2003, Pages 2423-2428

  Ling, S H ^a   Lam, H K ^a   Leung, F H F ^a   Lee, Y S ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Genetic Algorithm; Neural Network; Pattern Recognition; Sunspot Forecasting

Indexed keywords

DYNAMIC ACTIVATION FUNCTION (DAF); MEAN SQUARE ERROR (MSE); SUNSPOT FORECASTING;

APPROXIMATION THEORY; FUZZY CONTROL; GENETIC ALGORITHMS; NUMERICAL ANALYSIS; OPTIMIZATION; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS;

NEURAL NETWORKS;

EID: 1442358131     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2003.1280624     Document Type: Conference Paper

References (18)

1. M. Brown and C. Harris, Neurofuzzy Adaptive Modeling and Control. Prentice Hall, 1994.
2. D.E. Rumelhrt and J.L. McClelland, Parallel Distributed Processing: Explorations in Microstructure of Cognition, vol. 1. Cambridge, MA: MIT Press, 1986.
3. F.H.F. Leung, H.K. Lam, S.H. Ling, and P.K.S. Tam, "Tuning of the structure and parameters of neural network using an improved genetic algorithm," IEEE Trans. Neural Networks, vol. 14, no. 1, pp. 79-88, Jan. 2003.
4. S.H. Ling, F.H.F. Leung, H.K. Lam, P.K.S. Tam, and Y.S. Lee, "A novel GA-based neural network for short-term load forecasting," IEEE Trans. Ind. Electron, vol.. 50, no. 4, pp. 793-799, Aug. 2003.
5. S.H. Ling, H.K. Lam, F.H.F. Leung, and P.K.S. Tarn, "Parameter learning of neural network using fuzzy genetic algorithm," in Proc.2002 Congress on Evolutionary Computation (CEC 2002), World Congress on Computational Intelligence (WCCI 2002), Honolulu, Hawaii, May 12-17, 2002, pp. 1928-1933.
6. K.F. Leung, F.H.F. Leung, H.K. Lam, and S.H. Ling, "On interpretation of graffiti digits and commands for eBooks: neural-fuzzy network and genetic algorithm Approach" IEEE Trans. Ind. Electron., to be published.
7. F.H.F Leung, H.K. Lam, S.H. Ling, and P.K.S. Tarn, "Optimal and stable fuzzy controllers for nonlinear systems using an improved genetic algorithm," IEEE Trans. Ind. Electron., to be published.
8. M. Li, K. Mechrotra, C. Mohan, and S. Ranka, "Sunspot numbers forecasting using neural network," in Proc. 5th IEEE Int. Symp. Intelligent Control, 1990, pp. 524-528.
9. D.T. Pham and D. Karaboga, Intelligent Optimization Techniques, Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks. Springer, 2000.
10. J.H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press, 1975.
11. Z. Michalewicz, Genetic Algorithm + Data Structures = Evolution Programs, 2nd extended ed. Springer-Verlag, 1994.
12. B.D. Liu, C.Y. Chen, and J.Y. Tsao, "Design of adaptive fuzzy logic controller based on linguistic-hedge concepts and genetic algorithms," IEEE Trans. Systems, Man and Cybernetics, Part B, vol. 31 no. 1, pp. 32-53, Feb. 2001.
13. K. Belarbi and F. Titel "Genetic algorithm for the design of a class of fuzzy controllers: an alternative approach," IEEE Trans. Fuzzy Systems, vol. 8, no. 4, pp. 398-405, Aug. 2000.
14. H. Juidette and H. Youlal, "Fuzzy dynamic path planning using genetic algorithms," Electronics Letters, vol. 36, no. 4, pp. 374-376, Feb. 2000.
15. R. Caponetto, L. Fortuna, G. Nunnari, L. Occhipinti, and M.G. Xibilia, "Soft computing for greenhouse climate control," IEEE Trans. Fuzzy Systems, vol. 8, no. 6, pp. 753-760, Dec. 2000.
16. M. Srinivas and L.M. Patnaik, "Genetic algorithms: a survey," IEEE Computer, vol. 27, issue 6, pp. 17-26, Jun. 1994.
17. L. Davis, Handbook of Genetic Algorithms. NY: Van Nostrand Reinhold, 1991.
18. J.D. Schaffer, D. Whitley, and L.J. Eshelman "Combinations of genetic algorithms and neural networks: a survey of the state of the art," in Proc. International Workshop on Combinations of Genetic Algorithms and Neural Networks, COGANN-92, 1992, pp 1-37.