The complex fuzzy system forecasting model based on fuzzy SVM with triangular fuzzy number input and output

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12085-12093

  Wu, Qi ^a,b   Law, Rob ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Fuzzy system forecasting; Fuzzy v support vector machine; Particle swarm optimization; Wavelet kernel function

Indexed keywords

FORECASTING METHODS; FORECASTING MODELS; FORECASTING PRECISION; FUZZY SUPPORT VECTOR MACHINES; FUZZY SVM; FUZZY THEORY; INPUT AND OUTPUTS; INPUT VARIABLES; NONLINEAR FUZZY SYSTEMS; OPTIMAL PARAMETER; PARTICLE SWARM; TRIANGULAR FUZZY NUMBERS; V-SUPPORT VECTOR MACHINE; V-SUPPORT VECTOR REGRESSIONS; WAVELET KERNEL FUNCTION;

FORECASTING; FUZZY RULES; FUZZY SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES; VECTORS;

FUZZY LOGIC;

EID: 79957997358     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.094     Document Type: Article

References (51)

1. C. Alzate, and J. Suykens Kernel component analysis using an epsilon-insensitive robust loss function IEEE Transactions on Neural Networks 19 9 2008 1583 1598
2. D. Anguita, S. Pischiutta, S. Ridella, and D. Sterpi Feed-forward support vector machine without multipliers IEEE Transactions on Neural Networks 17 5 2006 1328 1331 (Pubitemid 46445188)
3. L. Bo, L. Jiao, and L. Wang Working set selection using functional gain for LS-SVM IEEE Transactions on Neural Networks 18 5 2007 1541 1544 (Pubitemid 47408555)
4. L. Bo, L. Wang, and L. Jiao Training hard-margin support vector machines using greedy stagewise algorithm IEEE Transactions on Neural Networks 19 8 2008 1446 1455
5. D. Casali, G. Costantini, R. Perfetti, and E. Ricci Associative memory design using support vector machines IEEE Transactions on Neural Networks 17 5 2006 1165 1174 (Pubitemid 46445175)
6. A. Chalimourda, B. Schölkopf, and A.J. Smola Experimentally optimal v in support vector regression for different noise models and parameter settings Neural Networks 17 1 2004 127 141 (Pubitemid 38019004)
7. A.K. Deb, Jayadeva, M. Gopal, and S. Chandra SVM-based tree-type neural networks as a critic in adaptive critic designs for control IEEE Transactions on Neural Networks 18 4 2007 1016 1030 (Pubitemid 47098878)
8. B. Fei, and J. Liu Binary tree of SVM: A new fast multiclass training and classification algorithm IEEE Transactions on Neural Networks 17 3 2006 696 704
9. N. Garcia-Pedrajas Constructing ensembles of classifiers by means of weighted instance selection IEEE Transactions on Neural Networks 20 2 2009 258 277
10. M. Gonen, A.G. Tanugur, and E. Alpaydm Multiclass posterior probability support vector machines IEEE Transactions on Neural Networks 19 1 2008 130 139 (Pubitemid 351279231)
11. G.D. Guo, and S.Z. Li Content-based audio classification and retrieval by support vector machines IEEE Transactions on Neural Networks 14 1 2003 209 215
12. K. Ikeda Effects of kernel function on Nu support vector machines in extreme cases IEEE Transactions on Neural Networks 17 1 2006 1 9 (Pubitemid 43263935)
13. L. Jiao, L. Bo, and L. Wang Fast sparse approximation for least squares support vector machine IEEE Transactions on Neural Networks 18 3 2007 685 697 (Pubitemid 46773736)
14. K. Kobayashi, and F. Komaki Information criteria for support vector machines IEEE Transactions on Neural Networks 17 3 2006 571 577
15. I. Kotsia, I. Pitas, and S. Zafeiriou Novel multiclass classifiers based on the minimization of the within-class variance IEEE Transactions on Neural Networks 20 1 2009 14 34
16. Y.J. Lee, and S.Y. Huang Reduced support vector machines: A statistical theory IEEE Transactions on Neural Networks 18 1 2007 1 13
17. K.Y. Lee, D.W. Kim, K.H. Lee, and D. Lee Density-induced support vector data description IEEE Transactions on Neural Networks 18 1 2007 284 289 (Pubitemid 46062933)
18. D. Lee, and J. Lee Equilibrium-based support vector machine for semisupervised classification IEEE Transactions on Neural Networks 18 2 2007 578 583 (Pubitemid 46522577)
19. D. Li, R.M. Mersereau, and S. Simske Blind image deconvolution through support vector regression IEEE Transactions on Neural Networks 18 3 2007 931 935 (Pubitemid 46773758)
20. Y.H. Liu, and Y.T. Chen Face recognition using total margin-based adaptive fuzzy support vector machines IEEE Transactions on Neural Networks 18 1 2007 178 192
21. B. Liu, Z. Hao, and E.C.C. Tsang Nesting one-against-one algorithm based on SVMs for pattern classification IEEE Transactions on Neural Networks 19 12 2008 2044 2052
22. Y. Lu, V. Roychowdhury, and L. Vandenberghe Distributed parallel support vector machines in strongly connected networks IEEE Transactions on Neural Networks 19 7 2008 1167 1178
23. M.E. Mavroforakis, M. Sdralis, and S. Theodoridis A geometric nearest point algorithm for the efficient solution of the SVM classification task IEEE Transactions on Neural Networks 18 5 2007 1545 1549 (Pubitemid 47408556)
24. M.E. Mavroforakis, and S. Theodoridis A geometric approach to support vector machine (SVM) classification IEEE Transactions on Neural Networks 17 3 2006 671 682
25. V. Mitra, C.J. Wang, and S. Banerjee Lidar detection of underwater objects using a neuro-SVM-based architecture IEEE Transactions on Neural Networks 17 3 2006 717 731
26. A. Navia-Vazquez, D. Gutierrez-Gonzalez, E. Parrado-Hernandez, and J.J. Navarro-Abellan Distributed support vector machines IEEE Transactions on Neural Networks 17 4 2006 1091 1097 (Pubitemid 44194167)
27. D. Nguyen, and H. TuBao A bottom-up method for simplifying support vector solutions IEEE Transactions on Neural Networks 17 3 2006 792 796
28. R. Perfetti, and E. Ricci Analog neural network for support vector machine learning IEEE Transactions on Neural Networks 17 4 2006 1085 1091 (Pubitemid 44194166)
29. E. Romero, and D. Toppo Comparing support vector machines and feedforward neural networks with similar hidden-layer weights IEEE Transactions on Neural Networks 18 3 2007 959 963 (Pubitemid 46773765)
30. B. Schölkopf, A.J. Smola, R.C. Williamson, and P.L. Bartlett New support vector algorithms Neural Computation 12 5 2000 1207 1245
31. Z. Shi, and M. Han Support vector echo-state machine for chaotic time-series prediction IEEE Transactions on Neural Networks 18 2 2007 359 372 (Pubitemid 46522562)
32. N. Takahashi, G. Jun, and T. Nishi Global convergence of SMO algorithm for support vector regression IEEE Transactions on Neural Networks 19 6 2008 971 982
33. N. Takahashi, and T. Nishi Global convergence of decomposition learning methods for support vector machines IEEE Transactions on Neural Networks 17 6 2006 1362 1369 (Pubitemid 44824252)
34. Q. Tao, D. Chu, and J. Wang Recursive support vector machines for dimensionality reduction IEEE Transactions on Neural Networks 19 1 2008 189 193 (Pubitemid 351279237)
35. I.W.H. Tsang, J.T.Y. Kwok, and J.A. Zurada Generalized core vector machines IEEE Transactions on Neural Networks 17 5 2006 1126 1140
36. V.N. Vapnik An overview of statistical learning theory IEEE Transactions on Neural Networks 10 5 1999 988 999
37. V.N. Vapnik The nature of statistical learning 2000 Springer-Verlag New York
38. I. Wai-Hung Tsang, A. Kocsor, and J.T.Y. Kwok Large-scale maximum margin discriminant analysis using core vector machines IEEE Transactions on Neural Networks 19 4 2008 610 624 (Pubitemid 351583578)
39. G.L. Wang, Y.F. Li, and D.X. Bi Support vector networks in adaptive friction compensation IEEE Transactions on Neural Networks 18 4 2007 1209 1219 (Pubitemid 47098892)
40. G. Wang, D.Y. Yeung, and F.H. Lochovsky A new solution path algorithm in support vector regression IEEE Transactions on Neural Networks 19 10 2008 1753 1767
41. D. Wang, D.S. Yeung, and E.C. Tsang Weighted mahalanobis distance kernels for support vector machines IEEE Transactions on Neural Networks 18 5 2007 1453 1462 (Pubitemid 47408544)
42. P. Williams, S. Li, J. Feng, and S. Wu A geometrical method to improve performance of the support vector machine IEEE Transactions on Neural Networks 18 3 2007 942 947 (Pubitemid 46773761)
43. Q. Wu The forecasting model based on wavelet v-support vector machine Expert Systems with Applications 36 4 2009 7604 7610
44. Q. Wu, J. Liu, F.L. Xiong, and X.J. Liu The fuzzy wavelet classifier machine with penalizing hybrid noises from complex diagnosis system Acta Automatica Sinica 35 6 2009 773 779
45. Q. Wu Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system [J] Journal of Computational and Applied Mathematics 233 10 2010 2481 2491
46. Q. Wu, and R. Law Fuzzy support vector regression machine with penalizing Gaussian noises on triangular fuzzy number space Expert Systems with Applications 37 12 2010 7788 7795
47. Q. Wu, and R. Law Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization [J] Information Sciences 180 23 2010 4514 4528
48. Q. Wu, S. Wu, and J. Liu Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO [J] Engineering Applications of Artificial Intelligence 23 4 2010 487 494
49. Q. Wu Fuzzy robust v-support vector machine with penalizing hybrid noises on triangular fuzzy number space [J] Expert Systems with Applications 38 1 2011 39 46
50. Q. Wu A self-adaptive embedded chaotic particle swarm optimization for parameters selection of Wv-SVM [J] Expert Systems with Applications 38 1 2011 184 192
51. L. Xun, R.C. Chen, and X. Guo Pruning support vector machines without altering performances IEEE Transactions on Neural Networks 19 10 2008 1792 1803