Hybrid recursive particle swarm optimization learning algorithm in the design of radial basis function networks

Journal of Marine Science and Technology

Volumn 15, Issue 1, 2007, Pages 31-40

  Chen, Ching Yi ^a   Feng, Hsuan Ming ^b   Ye, Fun ^c  

^a China College of Marine Technology and Commerce   (Taiwan)

^b National Kinmen Institute of Technology   (Taiwan)

^c TAMKANG UNIVERSITY   (Taiwan)

Author keywords

Normalized fuzzy c means; Particle swarm optimization; Radial basis function networks; Recursive least squares

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; FUZZY CLUSTERING; LEARNING ALGORITHMS; OPTIMIZATION; RECURSIVE FUNCTIONS;

NORMALIZED FUZZY C-MEANS; PARTICLE SWARM OPTIMIZATION; RECURSIVE LEAST-SQUARES;

RADIAL BASIS FUNCTION NETWORKS;

EID: 34547951856     PISSN: 10232796     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Akhmetov, D.F., Dote, Y., Ovaska, S.J., "Fuzzy Neural Network with General Parameter Adaptation for Modeling of Nonlinear Time-Series," IEEE Transactions on Neural Networks, Vol. 12, No. 1, pp. 148-152 (2001).
2. Behloul, F., Lelieveldt, B.P.F., Boudraa, A., and Reiber, J.H.C., "Optimal Design of Radial Basis Function Neural Networks for Fuzzy-Rule Extraction in High Dimensional Data," Pattern Recognition, Vol. 35, No. 3, pp. 659-675 (2002).
3. Bezdek, J.C., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York (1981).
4. Choi, S.W.D., Lee, J.H., Park, I., Lee, B., "Nonlinear Regression Using RBFN with Linear Submodels," Chemometrics and Intelligent Laboratory Systems, Vol. 65, No. 2, pp. 191-208 (2003).
5. Chuang, C.C., Jeng, J.T., and Lin, P.T., "Annealing Robust Radial Basis Function Networks for Function Approximation with Outliers," Neurocomputing, Vol. 56, pp. 123-139 (2004).
6. Ciftcioghu, O., "GA with Orthogonal Transformation for RBFN Configuration," Proceeding of IEEE International Conference on Neural Networks, pp. 1934-1939 (2002).
7. Clerc, M. and Kennedy, J., "The Particle Swarm-Explosion, Stability, and Convergence in A Multidimensional Complex Space," IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 58-73 (2002).
8. Dunn, J.C., "A Fuzzy Relative of the ISODATA Process and its Use in Detecting Compact, Well-Separated Clusters," Journal of Cybernetics, Vol. 3, pp. 32-57 (1974).
9. Gaing, Z.L., "A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System," IEEE Transactions on Energy Conversion, Vol. 19, No. 2, pp. 384-391 (2004).
10. Juang, C.F., "A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design," IEEE Transactions on Systems, Man and Cybernetics, Vol. 34, No. 2, pp. 997-1006 (2003).
11. Kennedy, J., "The Particle Swarm: Social Adaptation of Knowledge," Proceeding of International Conference on Evolutionary Computation, Indianapolis, IN, pp. 303-308 (1997).
12. Kennedy, J. and Eberhart, R.C., "Particle Swarm Optimization," Proceeding of IEEE International Conference on Neural Networks, Perth, Australia, pp. 1942-1948 (1995).
13. Lee, S.J. and Ouyang, C.H., "A Neuro-Fuzzy System Modeling with Self-Constructing Rule Generation and Hybrid SVD-Based Learning," IEEE Transactions on Fuzzy Systems, Vol. 11, No. 3, pp. 341-353 (2004).
14. Naka, S., Genji, T., Yura, T., and Fukuyama, Y., "A Hybrid Particle Swarm Optimization for Distribution State Estimation," IEEE Transactions on Power Systems, Vol. 18, No. 1, pp. 60-68 (2003).
15. Nam, M.D. and Thanh, T.C., "Approximation of Function and its Derivatives Using Radial Basis Function Networks," Applied Mathematical Modeling, Vol. 27, No. 3, pp. 197-220 (2003).
16. Park, J. and Sandberg, I.W., "Approximation and Radial Basis Function Networks," Neural Computation, Vol. 5, pp. 305-316 (1993).
17. Sugeno, M. and Yasukawa, T., "Fuzzy-Logic-Based Approach to Qualitative Modeling," IEEE Transactions on Fuzzy Systems, Vol. 1, No. 1, pp. 7-31 (1993).
18. Wang, L.X., A Course in Fuzzy Systems and Control, Prentice Hall, Inc., Englewood Cliffs, NJ (1997).
19. Wang, W.Y. and Li, W.H., "Evolutionary Learning of BMF Fuzzy-Neural Networks Using a Reduced-form Genetic Algorithm," IEEE Transactions on Systems, Man and Cybernetics, Vol. 33, No. 6, pp. 966-976 (2003).
20. Wong, C.C. and Chen, C.C., "A Hybrid Clustering and Gradient Descent Approach for Fuzzy Modeling," IEEE Transactions on Systems, Man and Cybernetics, Vol. 29 pp. 686-693 (1999).
21. Wong, C.C. and Chen, C.C., "A GA-Based Method for Constructing Fuzzy Systems Directly from Numerical Data," IEEE Transactions on Systems, Man and Cybernetics, Vol. 30, No. 6, pp. 905-911 (2000).