Neuro-fuzzy system design using differential evolution with local information

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2011, Pages 1003-1006

  Lin, Chin Teng ^a,b   Han, Ming Feng ^a   Lin, Yang Yin ^a   Liao, Shih Hui ^a   Chang, Jyh Yeong ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b Department of Electrical Engineering   (Taiwan)

Author keywords

Differential Evolution Optimization; Evolution Algorithm; Fuzzy System; Neuro Fuzzy System

Indexed keywords

ADAPTIVE PARAMETERS; AUTOMATICALLY GENERATED; CHAOTIC SEQUENCE; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; EVOLUTION ALGORITHMS; FIRING STRENGTH; FUZZY MEASURES; GLOBAL SEARCH; LOCAL INFORMATION; LOCAL SEARCH; NEUROFUZZY SYSTEM; PARAMETER LEARNING; RULE GENERATION; STRUCTURE LEARNING ALGORITHM; TRADE OFF;

CLUSTERING ALGORITHMS; FUZZY SYSTEMS; LEARNING ALGORITHMS; OPTIMIZATION; SYSTEMS ANALYSIS;

EVOLUTIONARY ALGORITHMS;

EID: 80053061871     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2011.6007522     Document Type: Conference Paper

References (37)

1. C. T. Lin and C. S. G Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent System. Englewood Cliffs, NJ: Prentice-Hall, 1996
2. Honggui Han and Junfei Qiao, "A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm," IEEE Trans. Fuzzy Syst., vol. 18, pp. 1129-1143, 2010.
3. Carmona, C.J., Gonzalez, P. del Jesus, M.J. Herrera, F., "Derivation and Analysis of the Analytical Structures of the Interval Type-2 Fuzzy-PI and PD Controllers," IEEE Trans. Fuzzy Syst., vol. 18, pp. 802-814, 2010.
4. Kumar, M., Weippert, M., Arndt, D., Kreuzfeld, S., Thurow, K. Stoll, N, and Stoll, R., "Fuzzy Filtering for Physiological Signal Analysis," IEEE Trans. Fuzzy Syst., vol. 18, pp. 208-216, 2010.
5. Jian Cheng Lv, Kok Kiong Tan, Zhang Yi, and Sunan Huang, "A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks," IEEE Trans. Fuzzy Syst., vol. 18, pp. 217-226, 2010.
6. Xinyu Du, and Hao Ying, "Derivation and Analysis of the Analytical Structures of the Interval Type-2 Fuzzy-PI and PD Controllers," IEEE Trans. Fuzzy Syst., vol. 18, pp. 802-814, 2010
7. Jinhui Zhang, Peng Shi, and Yuanqing Xia, "Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties," IEEE Trans. Fuzzy Syst., vol. 18, pp. 700-711, 2010.
8. Yajun Zhang, Tianyou Chai, Hong Wang, Jun Fu, Liyan Zhang, and Yonggang Wang, "An Adaptive Generalized Predictive Control Method for Nonlinear Systems Based on ANFIS and Multiple Models," IEEE Trans. Fuzzy Syst., vol. 18, pp. 1070-1082, 2010.
9. García-Sandoval, J.P., Castillo-Toledo, B., Di Gennaro, S., and González-Álvarez, V, "Structurally Stable Output Regulation Problem With Sampled-Output Measurements Using Fuzzy Immersions," IEEE Trans. Fuzzy Syst., vol. 18, pp. 1170-1177, 2010.
10. Bor-Sen Chen, and Chih-Hung Wu, "Robust Optimal Reference-Tracking Design Method for Stochastic Synthetic Biology Systems: T- S Fuzzy Approach," IEEE Trans. Fuzzy Syst., vol. 18, pp. 1144-1159, 2010.
11. O. Cordon, F. Herrera, F. Hoffmann, and L. Magdalena, Genetic Fuzzy Systems. Singapore: World Scientific, 2001.
12. E. Sanchez, T Shibata, and L. A. Zadeh, Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Perspectives. Singapore: World Scientific, 1997.
13. C. F Juang, "A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 10, no. 2, pp. 155-170, Apr. 2002.
14. C. F Juang, "Combination of on-line clustering and Q-value based GA for reinforcement fuzzy system design," IEEE Trans. Fuzzy Syst., vol. 13, no. 3, pp. 289-302, Jun. 2005.
15. C. H. Chou, "Genetic algorithm-based optimal fuzzy controller design in the linguistic space," IEEE Trans. Fuzzy Syst., vol. 14, no. 3, pp. 372-385, Jun. 2006.
16. F. Hoffmann, D. Schauten, and S. Holemann, "Incremental evolutionary design of TSK fuzzy controllers," IEEE Trans. Fuzzy Syst., vol. 15, no. 4, pp. 563-577, Aug. 2007.
17. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., Dec., 1995, pp. 1942-1948.
18. C. F. Juang, "A hybrid of genetic algorithm and particle swarm optimization for recurrent network design," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 34, no. 2, pp. 997-1006, Apr. 2004.
19. K. D. Sharma, A. Chatterjee, and A. Rakshit, "A hybrid approach for design of stable adaptive fuzzy controllers employing Lyapunov theory and particle swarm optimization," IEEE Trans. Fuzzy Syst., vol. 17, no. 2, pp. 329-342, Apr. 2009.
20. Prado, R.P., Garcia-Galán, S., Exposito, J., and Yuste, A.J, "Knowledge Acquisition in Fuzzy-Rule-Based Systems With Particle-Swarm Optimization," IEEE Trans. Fuzzy Syst., vol. 18, pp. 1083-1097, 2010.
21. C. F. Juang, C. M. Hsiao, and C. H. Hsu," Hierarchical Cluster-Based Multispecies Particle-Swarm Optimization for Fuzzy-System Optimization," IEEE Trans. Fuzzy Syst., vol. 18, no. 1, pp. 14-26, Feb. 2010.
22. Chia-Feng Juang, and Cheng-Da Hsieh, "A Locally Recurrent Fuzzy Neural Network With Support Vector Regression for Dynamic-System Modeling," IEEE Trans. Fuzzy Syst., vol. 18, pp. 261-273, 2010.
23. Chia-Feng Juang, Ren-Bo Huang, and Wei-Yuan Cheng, "An Interval Type-2 Fuzzy-Neural Network With Support-Vector Regression for Noisy Regression Problems," IEEE Trans. Fuzzy Syst., vol. 18, pp. 686-699, 2010.
24. Chia-Feng Juang, and Po-Han Chang, "Designing Fuzzy-Rule-Based Systems Using Continuous Ant-Colony Optimization," IEEE Trans. Fuzzy Syst., vol. 18, pp. 138-149, 2010.
25. R. Storn, "System design by constraint adaptation and differential evolution," IEEE Trans. Evol. Comput., vol. 3, no. 1, pp. 22-34, Apr. 1999.
26. Di Wang, Xiao-Jun Zeng, and Keane, J.A., "An Evolving-Construction Scheme for Fuzzy Systems," IEEE Trans. Fuzzy Syst., vol. 18, pp.755-770, 2010
27. Carmona, C.J., Gonzalez, P. del, Jesus, M.J., and Herrera, F., "NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery," IEEE Trans. Fuzzy Syst., vol. 18, pp. 958-970, 2010.
28. K. V. Price, R. M. Storn, and J. A. Lampinen, Differential Evolution: A Practical Approach toGlobal Optimization. Berlin, Germany: Springer- Verlag, 2005.
29. J. Liu and J. Lampinen, "A fuzzy adaptive differential evolution algorithm," Soft Comput. - A Fusion Found., Methodol. Appl. vol. 9, no. 6, pp. 448-642, 2005.
30. C.H Chen, CJ Lin, and CT Lin, "Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution" IEEE Trans. Syst. Man Cybern. Part C. 2009, pp. 459-473.
31. C. T. Lin, and M. F. Han, "Differential Evolution based Optimization of Locally Recurrent Neuro-Fuzzy System for Dynamic System Identification, " The 17th National Conference on Fuzzy Theory and its Applications, pp. 702-707, 2010.
32. Thomas Bäck, T., and Schwefel, H.-P., "Evolution strategies I: Variants and their computational implementation," Genetic Algorithms in Engineering and Computer Science, pp. 111-126. 1995.
33. Beyer, H.-G., and Schwefel, H.-P, "Evolution strategies: A comprehensive introduction," Natural Computing, 3-52, 2002.
34. Pedrycz, W., Loia, V., and Senatore, S., "Fuzzy Clustering With Viewpoints," IEEE Trans. Fuzzy Syst., vol. 18, pp.274-284, 2010.
35. Gin-Der Wu, and Pang-Hsuan Huang, "A Maximizing-Discriminability- Based Self-Organizing Fuzzy Network for Classification Problems", vol. 18, pp. 362-373, 2010.
36. Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, and Chuangyin Dang, "A Framework for Clustering Categorical Time-Evolving Data," IEEE Trans. Fuzzy Syst., vol. 18, pp. 872-882, 2010.
37. Mirzaei, A., and Rahmati, M., "A Novel Hierarchical-Clustering- Combination Scheme Based on Fuzzy-Similarity Relations," IEEE Trans. Fuzzy Syst., vol. 18, pp. 27-39, 2010.