A hybrid of electromagnetism-like mechanism and back-propagation algorithms for recurrent neural fuzzy systems design

International Journal of Systems Science

Volumn 43, Issue 2, 2012, Pages 231-247

  Lee, Ching Hung ^a   Chang, Fu Kai ^a   Kuo, Che Ting ^a   Chang, Hao Hang ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

electromagnetism like algorithm; identification; mobile robot; neural fuzzy system; nonlinear control

Indexed keywords

BP ALGORITHM; COMPUTATION TIME; ELECTROMAGNETISM-LIKE ALGORITHM; EM ALGORITHMS; FASTER CONVERGENCE; FUZZY NEURAL SYSTEMS; GLOBAL OPTIMISATION; HIGH-SPEED CONVERGENCE; HYBRID EVOLUTIONARY ALGORITHM; HYBRID LEARNING ALGORITHM; LOCAL SEARCH; MULTIPOINT SEARCH; NEIGHBOURHOOD; NEURAL FUZZY SYSTEMS; NEURAL SYSTEMS; NON LINEAR CONTROL; SMALL POPULATION;

CHARGED PARTICLES; ELECTROMAGNETISM; FUZZY SYSTEMS; GLOBAL OPTIMIZATION; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; MOBILE ROBOTS; NONLINEAR SYSTEMS; SYSTEMS ANALYSIS;

BACKPROPAGATION ALGORITHMS;

EID: 84863115715     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2010.488758     Document Type: Article

References (44)

1. Birbil, S.I., and Fang, S.C. (2003), 'An Electromagnetismlike Mechanism for Global optimisation', Journal of Global Optimisation, 25, 263-282.
2. Birbil, S.I., Fang, S.C., and Sheu, R.L. (2004), 'On the Convergence of a Population-based Global optimisation Algorithm', Journal of Global Optimisation, 30, 301-318.
3. Birbil, S.I., and Feyzioglu, O. (2003), 'A Global optimisation Method for Solving Fuzzy Relation Equations', Lecture Notes in Artificial Intelligence, 2715, 718-724.
4. Chang, P.C., Chen, S.H., and Fan, C.Y. (2008), 'A Hybrid Electromagnetism-like Algorithm in Single Machine Scheduling Problems with Learning Effect', Expert Systems with Applications, 39, 1259-1267.
5. Chen, Y.C., and Teng, C.C. (1995), 'A Model Reference Control Structure Using a Fuzzy Neural Network', Fuzzy Sets and Systems, 73, 291-312.
6. Chen, T. (2009), 'A Fuzzy-neural Knowledge-based System for Job Completion Time Prediction and Internal Due Date Assignment in a Wafer Fabrication Plant', International Journal of Systems Science, 40, 889-902.
7. Clerc, M., and Kenney, J. (2002), 'The Particle Swarmexplosion, Stability, and Convergence in a Multidimensional Complex Space', IEEE Transaction on Evolutionary Computation, 6, 58-73.
8. Farag, W.A., Quintana, V.H., and Germano, L.T. (1998), 'A Genetic-based Neuro-fuzzy Approach for Modeling and Control of Dynamical Systems', IEEE Transactions on Neural Networks, 9, 756-767.
9. Goldberg, D.E. (1989), Genetic Algorithms in Search, Optimisation and Machine Learning, Reading: Addison-Wesley.
10. Gudise, V.G. and Venayagamoorthy, G.K. (2003), 'Comparison of Particle Swarm Optimisation and Backpropagation as Training Algorithm for Neural Networks', IEEE Swarm Intelligence Symposium, 24-26 April, pp. 110-117.
11. Gorrini, V., and Bersini, H. (1994), 'Recurrent Fuzzy Systems', Proceedings IEEE International Conference on Fuzzy Systems, 1, 193-198.
12. Hong, G., and Yuan, M.Z. (2002), 'Immune Algorithm', Proceedings of the 4th World Congress on Intelligent Control and Automation, 3, 1784-1788.
13. Horikawa, S., Furuhashi, T., and Uchikawa, Y. (1992), 'On Fuzzy Modeling Using Fuzzy Neural Networks with the Back-propagation Algorithm', IEEE Transactions on Neural Networks, 3, 801-806.
14. Juang, C.F. (2002), 'A TSK-type Recurrent Fuzzy Network for Dynamic Systems Processing by Neural Network and Genetic Algorithms', IEEE Transactions on Fuzzy Systems, 10, 155-170.
15. Juang, C.F. (2004), 'A Hybrid of Genetic Algorithm and Particle Swarm optimisation for Recurrent Network Design', IEEE Transactions on Systems, Man, Cybernetics - Part: B, 34, 997-1006.
16. Kim, D.H. (2002), 'Parameter Tuning of Fuzzy Neural Networks by Immune Algorithm', 2002 IEEE International Conference on Fuzzy Systems, 1, 408-413.
17. Lee, C.H., and Teng, C.C. (2000), 'Identification and Control of Dynamic Systems Using Recurrent Fuzzy Neural Networks', IEEE Transactions on Fuzzy Systems, 8, 349-366.
18. Lee, C.H. (2004), 'Stabilization of Nonlinear Nonminimum Phase Systems: An Adaptive Parallel Approach Using Recurrent Fuzzy Neural Network', IEEE Transactions on Systems, Man, Cybernetics - Part: B, 34, 1075-1088.
19. Lee, C.H., and Chiu, M.H. (2007), 'Adaptive Nonlinear Control Using TSK-type Recurrent Fuzzy Neural Network System', Lecture Notes in Computer Science, 4491, 38-44.
20. Lee, C.H., Chang, F.K. and Chen, C.W. (2007), 'A Modified Electromagnetism-like Algorithm for Training Neural Fuzzy Systems in Control Applications,' 2007 CACS International Automatic Control Conference, Taichung, Taiwan.
21. Lee, C.H., Kuo, C.T., Chang, H.H., Chien, J.C., and Chang, F.K. (2009), 'A Hybrid Algorithm of Electromagnetsmlike and Genetic for Recurrent Neuro Fuzzy Controller Design,' Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009, Vol. 1, Hong Kong, pp. 224-229.
22. Lee, T.C., Song, K.T., Lee, C.H., and Teng, C.C. (2001), 'Tracking Control of Two-wheeled Mobile Robots Using a Saturation Feedback Controller', IEEE Transactions on Control Systems and Technology, 9, 305-318.
23. Lin, C.T., and Lee, C.S.G. (1996), Neural Fuzzy Systems, Englewood Cliff: Prentice Hall.
24. Lin, F.J., Wai, R.J., and Lee, C.C. (1999), 'Fuzzy Neural Network Position Controller for Ultrasonic Motor Drive Using Push-pull DC-DC Converter', IEE Proceedings - Control Theory and Applications, 146, 99-107.
25. Lin, C.J. (2004), 'Time-series Prediction Using Adaptive Neuro-fuzzy Networks', International Journal of Systems Science, 35, 273-286.
26. Lin, C.J., and Xu, Y.J. (2006), 'A Novel Evolution Learning for Recurrent Wavelet-based Neuro-fuzzy Networks', Soft Computing Journal, 10, 193-205.
27. Lin, P.Z., Wang, W.Y., Lee, T.T., and Wang, C.H. (2009), 'On-line Genetic Algorithm-based Fuzzy-neural Sliding Mode Controller Using Improved Adaptive Bound Reduced-form Genetic Algorithm', International Journal of Systems Science, 40, 571-585.
28. Mastorocostas, P.A., and Theocharis, J.B. (2002), 'A Recurrent Fuzzy-neural Model for Dynamic System Identification', IEEE Transaction on Systems, Man, Cybernetics Part B, 32, 176-190.
29. Ong, Y.S., and Keane, A.J. (2004), 'Meta-lamarckian Learning in Memetic Algorithms', IEEE Transactions on Evolutionary Computation, 8, 99-110.
30. Pomet, J.B. (1992), 'Explicit Design of Time-varying Stabilizing Control Laws for a Class of Controllable Systems Without Drift', Systems and Control Letters, 18, 147-158.
31. Saridakis, K., and Dentsoras, A. (2009), 'Integration of Genetic Optimisation and Neuro-fuzzy Approximation in Parametric Engineering Design', International Journal of Systems Science, 40, 131-145.
32. Siddique, M.N.H., and Tokhi, M.O. (2001), 'Training Neural Networks: Backpropagation vs. Genetic Algorithms', Proceedings of International Joint Conference on Neural Networks, IJCNN 2001, 4, 2673-2678.
33. Storn, R., Price, K., and Lampinen, J. (2005), Differential Evolution: A Practical Approach to Global optimisation, Berlin: Springer-Verlag.
34. Tsou, C.S., and Kao, C.H. (2007), 'Multi-objective Inventory Control Using Electromagnetism-like Metaheuristic', International Journal of Production Research, 1, 1-16.
35. Wang, C.M. (1988), 'Location Estimation and Uncertainty Analysis for Mobile Robots', Proceedings of the IEEE International Conference Robotics and Automation, 2, 1230-1235.
36. Wang, D.F., Han, P., Liu, N., Dong, Z. and Jiao, S.M. (2002), 'Modeling the Circulating Fluidized Bed Boiler Using RBF-NN Based on Immune Genetic Algorithm,' Proceedings of the First International Conference on Machine Learning and Cybernetics, 4, 2121-2125.
37. Wang, D.Y., Lin, C.J., and Lee, C.Y. (2008), 'A New Pseudo-Gaussian-based Recurrent Fuzzy CMAC Model for Dynamic Systems Processing', International Journal of Systems Science, 39, 289-304.
38. Wang, J.S., and Chen, Y.P. (2006), 'A Fully Automated Recurrent Neural Network for Unknown Dynamic System Identification and Control', IEEE Transactions on Circuits and Systems-I, 56, 1363-1372.
39. Werbs, P.J. (1992), 'Neurocontrol and Supervised Learning: An Overview and Evaluation', Handbook of Intelligent Control, New York: Van Nostrand Reinhold.
40. Wong, C.C., and Chen, C.C. (1998), 'A Simulated Annealing Approach to Switching Grey Prediction Fuzzy Control System Design', International Journal of Systems Science, 9, 637-642.
41. Wu, P., Yang, W.H., and Wei, N.C. (2004), 'An Electromagnetism Algorithm of Neural Network Analysis-An Application to Textile Retail Operation', Journal of the Chinese Institute of Industrial Engineers, 21, 59-67.
42. Yao, X. (1999), Evolutionary Computation: Theory and Applications, Singapore: World Scientific.
43. Yoo, S.J., Park, J.B., and Choi, Y.H. (2005), 'Direct Adaptive Control Using Self Recurrent Wavelet Neural Network Via Adaptive Learning Rates for Stable Path Tracking of Mobile Robots', American Control Conference, 1, 288-293.
44. Zhang, J., and Morris, A.J. (1999), 'Recurrent Neuron-fuzzy Networks for Nonlinear Process Modeling', IEEE Transactions on Neural Networks, 10, 313-326.