Journal of Computers - Academy Publisher

More documents

Recommendations

Info

1940 JOURNAL OF COMPUTERS, VOL. 6, NO. 9, SEPTEMBER 2011 ACKNOWLEDGMENT The authors are grateful to the anonymous referees for their valuable remarks and helpful suggestions, which have significantly improved the paper. This work was supported in part by a grant from the support of Key Project of Chinese National Programs for Fundamental Research and Development (973 Program) (2007CB7140 06), National Nature Science Foundation of China (61074020) and the Fundamental Research Funds for the Central Universities (DC10040101). REFERENCES [1] V. N. Vapnik, The Nature of Statistical Learning Theory, chapter 6, New York: Springer-Verlag, 1995. [2] V. N. Vapnik, “An Overview of Statistical Learning Theory,” IEEE Trans on Neural Networks, vol. 10, p. 988- 999, 1999. [3] J. A. K.Suykens, “Support vector machines: a nonlinear modeling and control perspective,” European Journal of Control, vol. 7, p. 311-327, 2001. [4] J. A. K.Suykens, “Nonlinear Modeling and Support Vector Machines (Published Conference Proceedings style),” Proc. of 18th Annu. IEEE Conference on Instrumentation and Measurement Technology, Budapest, p. 287-294, 2001. [5] K. S. Chua, “Efficient computations for large least square support vector machine classifiers,” Pattern Recognition Letters, vol. 24, p. 75-80, 2003. [6] I. Goethals, K. Pelckmans, J. A. K. Suykens and B. De Moor, “Identification of MIMO Hammerstein models using least squares support vector machines,” Automatica, vol. 41, p. 1263-1272, 2005. [7] L. Bako, G. Mercere, S. Lecoeuche and M. Lovera, “Recursive subspace identification of Hammerstein models based on least squares support vector machines,” IET Control Theory and Application, vol. 3, p. 1209-1216, 2009. [8] L. K. Hou, Q. X. Yang and J. L. An, “Modeling of SRM Based on XS-LSSVR Optimized by GDS,” IEEE Transactions on Applied Superconductivity, vol. 20, p. 1102-1105, 2010. [9] Z. J. Li, Y. N. Zhang and Y. P. Yang, “Support vector machine optimal control for mobile wheeled inverted pendulums with unmodelled dynamics,” Neurocomputing, vol. 73, p. 2773-2782, 2010. [10] N. E. Ayat, M. Cheriet and C. Y. Suen, “Automatic model selection for the optimization of SVM kernels,” Pattern Recognition, vol. 38, p. 1733-1745, 2005. [11] Y. W. Kang, J. Li, G. Y. Cao, H. Y. Tu, J. Li and J. Yang, “Dynamic temperature modeling of an SOFC using least squares support vector machines,” Journal of Power sources, vol. 179, p. 683-692, 2008. [12] P. F. Pai and W. C. Hong, “Support vector machines with simulated annealing algorithms in electricity load forecasting,” Energy Conversion andManagement, vol. 46, p. 2669-2688, 2005. [13] X. L. Tang, L. Zhang, J. Cai and C. B. Li, “Multi-fault classification based on support vector machine trained by chaos particle swarm optimization,” Knowledge-Based Systems, vol. 23, p. 486-490, 2010. [14] S. J. An, W. Q. Liu and S. Venkatesh, “Fast crossvalidation algorithms for least squares support vector machines and kernel ridge regression,” Pattern Recognition, vol. 40, p. 2154-2162, 2007. © 2011 ACADEMY PUBLISHER [15] W. T. Mao, G. R. Yan, L. L. Dong and D. Hu, “Model selection for least squares support vector regression based on small-world strategy,” Expert Systems with Applications, vol. 38, p. 3227-3237, 2011. [16] T. V. Gestel, J. A. K. Suykens and B. Baesens, S. Viaene, J. Vanthienen and G. Dedene, et al., “Benchmarking least squares support vector machine classifiers,” Machine Learning, vol. 54, p. 5-32, 2004. [17] L. X. Li, Y. X. Yang, H. P. Peng and X. D. Wang, “Parameters identification of chaotic systems via chaotic ant swarm,” Chaos, Solitons and Fractals, vol. 28, p. 1204–1211, 2006. [18] L. X. Li, Y. X. Yang, H. P. Peng and X. D. Wang, “An optimization method inspired by chaotic ant havior,” International Journal of Bifurcation Chaos, vol. 16, p. 2351-2364, 2006. [19] J. J. Cai, X. Q. Ma, L. X. Li, Y. X. Yang, H. P. Peng and X. D. Wang, “Chaotic ant swarm optimization to economic dispatch,” Electric Power Systems Research, vol. 77, p. 1373-1380, 2007. [20] L. X. Li, Y. X. Yang and, H. P. Peng, “Computation of multiple global optima through chaotic ant swarm,” Chaos, Solitons and Fractals, Vol. 40 (2009), p. 1399-1407. [21] Y. G. Tang, M. Y. Cui, Li L. X., H. P. Peng and X. P. Guan, “Parameter identification of time-delay chaotic system using chaotic ant swarm,” Chaos, Solitons and Fractals, vol. 41, p. 2097-2102, 2009. [22] L. X. Li, Y. X. Yang and, H. P. Peng, “Fuzzy system identification through chaotic ant swarm,” Chaos, Solitons and Fractals, vol. 41, p. 401-408, 2009. [23] H. Zhu, L. X. Li, Y. Zhao, Y. Guo and Y. X. Yang, “CAS algorithm-based optimum design of PID controller in AVR system,” Chaos, Solitons and Fractals, vol. 42, p. 792-800, 2009. [24] Y. Y. Li, Q. Y. Wen, L. X. Li and H. P. Peng, “Hybrid chaotic ant swarm optimization,” Chaos, Solitons and Fractals, vol. 42, p. 880-889, 2009. [25] W. C. Hong, “Application of chaotic ant swarm optimization in electric load forecasting,” Energy Policy, vol. 38, p. 5830-5839, 2010. [26] A. Chatterjee, S. P. Ghoshal and V. Mukherjee, “Chaotic ant swarm optimization for fuzzy-based tuning of power system stabilizer”, Electrical Power and Energy Systems, in press. [27] B. J.Cole, “Is animal behavior chaotic? Evidence from the activity of ants.” Proc R Soc Lond Ser B biol Sco, vol. 244, p. 253-259, 1991. [28] R. V. Solé, O. Miramontes and B. C. Goodwill, “Oscillations and chaos in ant societies,” Journal of Theory Biology, vol. 161, p. 343-357, 1993. Chunli Xie Xie received his B.Sc. and M.Sc. degrees from Fushun Petroleum Institute and Liaoning Shihua University, Fushun, China, in 1995 and 2003, respectively. He is currently working toward the Ph.D degree with Dalian University of Technology, Dalian, China. His research interests include adaptive control, robust control, machine learning, nonlinear systems, artificial intelligence and application. Cheng Shao was born in Shenyang, P. R. China, on June 7, 1958. Shao received his B.Sc. degree from Liaoning University, Shenyang, China, in 1982. Then he received the M.Sc and Ph.D. degrees from Northeastern University, Shenyang, China, in 1987 and 1992. He is currently a full-time Professor and Ph.D. Advisor with School of Electronic and Information Engineering, Dalian
JOURNAL OF COMPUTERS, VOL. 6, NO. 9, SEPTEMBER 2011 1941 University of Technology, China. His research interest covers complex system modeling and intelligence control. Dandan Zhao was born in Fuxin, P. R. China, on March 4, 1975. Zhao received her B.Sc. and M.Sc. degrees from Fushun Petroleum Institute and Liaoning Shihua University, Fushun, © 2011 ACADEMY PUBLISHER China, in 1997 and 2003, respectively. She is currently a fulltime lecturer of School of Computer Science and Engineering, Dalian Nationalities University, Dalian, China. Her research interests include electronic commerce, semantic network, swarm intelligent and information processing.
Page 1 and 2:
Journal of Computers ISSN 1796-203X
Page 3:
Research on Self-built Digital Reso
Page 6 and 7:
1798 JOURNAL OF COMPUTERS, VOL. 6,
Page 8 and 9:
Page 10 and 11:
Page 12 and 13:
Page 14 and 15:
Page 16 and 17:
Page 18 and 19:
Page 20 and 21:
Page 22 and 23:
Page 24 and 25:
Page 26 and 27:
Page 28 and 29:
Page 30 and 31:
Page 32 and 33:
Page 34 and 35:
Page 36 and 37:
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Page 54 and 55:
Page 56 and 57:
Page 58 and 59:
Page 60 and 61:
Page 62 and 63:
Page 64 and 65:
Page 66 and 67:
Page 68 and 69:
Page 70 and 71:
Page 72 and 73:
Page 74 and 75:
Page 76 and 77:
Page 78 and 79:
Page 80 and 81:
Page 82 and 83:
Page 84 and 85:
Page 86 and 87:
Page 88 and 89:
Page 90 and 91:
Page 92 and 93:
Page 94 and 95:
Page 96 and 97:
Page 98 and 99: 1890 JOURNAL OF COMPUTERS, VOL. 6,
Page 198 and 199:
Page 200 and 201:
Page 202 and 203:
Page 204 and 205:
Page 206 and 207:
Page 208 and 209:
Page 211 and 212:
A Modified Technique for Analysis o
show all

Journal of Computers - Academy Publisher

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?