Efficient immune-based particle swarm optimization learning for neuro-fuzzy networks design

Journal of Information Science and Engineering

Volumn 24, Issue 5, 2008, Pages 1505-1520

  Lin, Cheng Jian ^a   Chen, Cheng Hung ^b   Lee, Chi Yung ^c  

^a NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^c NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Backpropagation; Identification; Immune system algorithm; Neuro fuzzy network; Particle swarm optimization; Prediction

Indexed keywords

ALGORITHMS; BACKPROPAGATION ALGORITHMS; BOOLEAN FUNCTIONS; FORECASTING; FUZZY NEURAL NETWORKS; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; NETWORK PROTOCOLS; OPTIMIZATION; SENSOR NETWORKS;

IDENTIFICATION; IMMUNE SYSTEM ALGORITHM; NEURO-FUZZY NETWORK; PARTICLE SWARM OPTIMIZATION; PREDICTION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 54149094890     PISSN: 10162364     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. C.T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neural-Fuzzy Synergism to Intelligent Systems, Prentice-Hall, NJ, 1996.
2. L. Chen, D. H. Cooley, and J. Zhang, "Possibility-based fuzzy neural networks and their application to image processing," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, Vol. 29, 1999, pp. 119-126.
3. Q. Jishuang, W. Chao, and W. Zhengzhi, "Structure-context based fuzzy neural network approach for automatic target detection," in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Vol. 2, 2003, pp. 767-769.
4. B. Kusumoputo, P. Irwanto, and W. Jatmiko, "Optimization of fuzzy-neural structure through genetic algorithm and its application in artificial odor recognitions," in Proceedings of Asia-Pacific Conference on Circuits and Systems, Vol. 2, 2002, pp. 47-51.
5. A. Kalinli and N. Karabogab, "Artificial immune algorithm for IIR filter design," Engineering Applications of Artificial Intelligence, Vol. 18, 2005, pp. 919-929.
6. G. C. Liao and T. P. Tsao, "Application embedded chaos search immune genetic algorithm for short-term unit commitment," Electric Power Systems Research, Vol. 71, 2004, pp. 135-144.
7. X. Wen and A. Song, "An immune evolutionary algorithm for sphericity error evaluation," International Journal of Machine Tools & Manufacture, Vol. 44, 2004, pp. 1077-0184.
8. Y. Zhou, D. L. Zheng, Z. L. Qiu, and G. Y. Dong, "The application of RBF networks based on artificial immune algorithm in the performance prediction of steel bars," in Proceedings of the 3rd International Conference on Machine Learning and Cybernetics, 2004, pp. 26-29.
9. J. S. Chun, M. K. Kim, and H. K. Jung, "Shape optimization of electromagnetic devices using immune algorithm," IEEE Transactions on Magentics, Vol. 33, 1997, pp. 1876-1879.
10. H. W. Ge and Y. C. Liang, "A hidden markov model and immune particle swarm optimization-based algorithm for multiple sequence alignment," in Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, 2005, pp. 756-765.
11. Q. Wang, C. Wang, and X. Z. Gao, "A hybrid optimization algorithm based on clonal selection principle and particle swarm intelligence," in Proceedings of the 6th International Conference on Intelligent Systems Design and Applications, Vol. 2, 2006, pp. 975-9792.
12. Y. Lv, S. Li, S. Chen, Q. Jiang, and W. Guo, "Particle swarm optimization based on information diffusion and clonal selection," in Proceedings of the 6th International Conference on Simulated Evolution and Learning, 2006, pp. 521-528.
13. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
14. D. W. Boeringer and D. H. Werner, "Particle swarm optimization versus genetic algorithms for phased array synthesis," IEEE Transactions on Antennas and Propagation, Vol. 52, 2004, pp. 771-779.
15. C. J. Lin and Y. J. Xu, "The design of TSK-type fuzzy controllers using a new hybrid learning approach," International Journal of Adaptive Control and Processing, Vol. 20, 2006, pp. 1-25.
16. C. J. Lin and Y. J. Xu, "A self-constructing neural fuzzy network with dynamic from symbiotic evolution," Intelligent Automation and Soft Computing, Vol. 11, 2005, pp. 1-15.
17. K. S. Narendra and K. Parthasarathy, "Identification and control of dynamical systems using neural networks," IEEE Transactions on Neural Networks, Vol. 1, 1990, pp. 4-27.
18. C. F. Juang and C. T. Lin, "An on-line self-constructing neural fuzzy inference network and its applications," IEEE Transactions on Fuzzy Systems, Vol. 6, 1998, pp. 12-31.
19. S. H. Ling, F. H. F. Leung, H. K. Lam, Y. S. Lee, and P. K. S. Tam, "A novel genetic-algorithm-based neural network for short-term load forecasting," IEEE Transactions on Industrial Electronics, Vol. 50, 2003, pp. 793-799.
20. C. J. Lin and W. H. Ho, "An asymmetry-similarity-measure-based neural fuzzy inference system," Fuzzy Sets and Systems, Vol. 152, 2005, pp. 535-551.