메뉴 건너뛰기




Volumn 37, Issue 12, 2010, Pages 7788-7795

Fuzzy support vector regression machine with penalizing Gaussian noises on triangular fuzzy number space

Author keywords

Fuzzy m support vector machine; Gaussian loss function; Genetic algorithm; Sale forecasts; Triangular fuzzy number

Indexed keywords

FORECASTING; FUZZY RULES; FUZZY SETS; GAUSSIAN DISTRIBUTION; GENETIC ALGORITHMS; SAMPLING; SUPPORT VECTOR MACHINES; VECTOR SPACES;

EID: 77957848736     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.04.061     Document Type: Article
Times cited : (23)

References (28)
  • 1
    • 56349116904 scopus 로고    scopus 로고
    • Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM
    • Avci, E. (2009). Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm-support vector machines: HGASVM. Expert Systems with Applications, 36(2), 1391-1402.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1391-1402
    • Avci, E.1
  • 4
    • 33646156614 scopus 로고    scopus 로고
    • Web page classification based on a support vector machine using a weighted vote schema
    • Chen, R. C., & Hsieh, C. H. (2006). Web page classification based on a support vector machine using a weighted vote schema. Expert Systems with Applications, 31(2), 427-435.
    • (2006) Expert Systems with Applications , vol.31 , Issue.2 , pp. 427-435
    • Chen, R.C.1    Hsieh, C.H.2
  • 5
    • 40649101485 scopus 로고    scopus 로고
    • Type-2 fuzzy logic-based classifier fusion for support vector machines
    • Chen, X., Li, Y., Harrison, R., & Zhang, Y. Q. (2008b). Type-2 fuzzy logic-based classifier fusion for support vector machines. Applied Soft Computing, 8(3), 1222-1231.
    • (2008) Applied Soft Computing , vol.8 , Issue.3 , pp. 1222-1231
    • Chen, X.1    Li, Y.2    Harrison, R.3    Zhang, Y.Q.4
  • 6
    • 56349084789 scopus 로고    scopus 로고
    • Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm
    • Chiu, D. Y., & Chen, P. J. (2009). Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm. Expert Systems with Applications, 36(2), 1240-1248.
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1240-1248
    • Chiu, D.Y.1    Chen, P.J.2
  • 7
    • 34247242264 scopus 로고    scopus 로고
    • Intelligent prediction method for small-batch producing quality based on fuzzy least square SVM
    • Dong, H., Yang, S., & Wu, D. (2007). Intelligent prediction method for small-batch producing quality based on fuzzy least square SVM. Systems Engineering - Theory & Practice, 27(3), 98-104.
    • (2007) Systems Engineering - Theory & Practice , vol.27 , Issue.3 , pp. 98-104
    • Dong, H.1    Yang, S.2    Wu, D.3
  • 8
    • 67349288151 scopus 로고    scopus 로고
    • Fault diagnosis of power transformer based on support vector machine with genetic algorithm
    • Fei, S. W., & Zhang, X. B. (2009). Fault diagnosis of power transformer based on support vector machine with genetic algorithm. Expert Systems with Applications, 36(8), 11352-11357.
    • (2009) Expert Systems with Applications , vol.36 , Issue.8 , pp. 11352-11357
    • Fei, S.W.1    Zhang, X.B.2
  • 9
    • 58349107243 scopus 로고    scopus 로고
    • Support vector machine with genetic algorithm for forecasting of key-gas ratios in oil-immersed transformer
    • Fei, S. W., Liu, C. L., & Miao, Y. B. (2009). Support vector machine with genetic algorithm for forecasting of key-gas ratios in oil-immersed transformer. Expert Systems with Applications, 36(3), 6326-6331.
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 6326-6331
    • Fei, S.W.1    Liu, C.L.2    Miao, Y.B.3
  • 10
    • 10344230931 scopus 로고    scopus 로고
    • Fast and robust learning through fuzzy linear proximal support vector machines
    • Jayadeva Khemchandani, R., & Chandra, S. (2004). Fast and robust learning through fuzzy linear proximal support vector machines. Neurocomputing, 61, 401-411.
    • (2004) Neurocomputing , vol.61 , pp. 401-411
    • Jayadeva Khemchandani, R.1    Chandra, S.2
  • 11
    • 67349233084 scopus 로고    scopus 로고
    • Object detection by color histogrambased fuzzy classifier with support vector learning
    • Juang, C. F., Sun, W. K., & Chen, G. C. (2009). Object detection by color histogrambased fuzzy classifier with support vector learning. Neurocomputing, 72(10-12), 2464-2476.
    • (2009) Neurocomputing , vol.72 , Issue.10-12 , pp. 2464-2476
    • Juang, C.F.1    Sun, W.K.2    Chen, G.C.3
  • 13
    • 51649087577 scopus 로고    scopus 로고
    • Effective image retrieval using dominant color descriptor and fuzzy support vector machine
    • Min, R., & Cheng, H. D. (2009). Effective image retrieval using dominant color descriptor and fuzzy support vector machine. Pattern Recognition, 42(1), 147-157.
    • (2009) Pattern Recognition , vol.42 , Issue.1 , pp. 147-157
    • Min, R.1    Cheng, H.D.2
  • 15
    • 44649198345 scopus 로고    scopus 로고
    • Classification model for product form design using fuzzy support vector machines
    • Shieh, M. D., & Yang, C. C. (2008). Classification model for product form design using fuzzy support vector machines. Computers & Industrial Engineering, 55(1), 150-164.
    • (2008) Computers & Industrial Engineering , vol.55 , Issue.1 , pp. 150-164
    • Shieh, M.D.1    Yang, C.C.2
  • 16
    • 59349083529 scopus 로고    scopus 로고
    • Optimization of coal-fired boiler SCRs based on modified support vector machine models and genetic algorithms
    • Si, F., Romero, C. E., Yao, Z., Schuster, E., Xu, Z., Morey, R. L., et al. (2009). Optimization of coal-fired boiler SCRs based on modified support vector machine models and genetic algorithms. Fuel, 88(5), 806-816.
    • (2009) Fuel , vol.88 , Issue.5 , pp. 806-816
    • Si, F.1    Romero, C.E.2    Yao, Z.3    Schuster, E.4    Xu, Z.5    Morey, R.L.6
  • 17
    • 57849105436 scopus 로고    scopus 로고
    • Fuzzy support vector machine with a new fuzzy membership function for pattern classification
    • Tang, H., & Qu, L. S. (2008). Fuzzy support vector machine with a new fuzzy membership function for pattern classification. In International conference on machine learning and cybernetics (pp. 768-773).
    • (2008) International Conference on Machine Learning and Cybernetics , pp. 768-773
    • Tang, H.1    Qu, L.S.2
  • 18
    • 0038355084 scopus 로고    scopus 로고
    • Fuzzy least squares support vector machines for multiclass problems
    • Tsujinishi, D., & Abe, S. (2003). Fuzzy least squares support vector machines for multiclass problems. Neural Networks, 16(5-6), 785-792.
    • (2003) Neural Networks , vol.16 , Issue.5-6 , pp. 785-792
    • Tsujinishi, D.1    Abe, S.2
  • 20
    • 60249083637 scopus 로고    scopus 로고
    • The forecasting model based on wavelet m-support vector machine
    • Wu, Q. (2009). The forecasting model based on wavelet m-support vector machine. Expert Systems with Applications, 36(4), 7604-7610.
    • (2009) Expert Systems with Applications , vol.36 , Issue.4 , pp. 7604-7610
    • Wu, Q.1
  • 21
    • 71749102382 scopus 로고    scopus 로고
    • The hybrid-forecasting model based on chaotic mapping, genetic algorithm and support vector machine
    • Wu, Q. (2010a). The hybrid-forecasting model based on chaotic mapping, genetic algorithm and support vector machine. Expert Systems with Applications, 37(2), 1776-1783.
    • (2010) Expert Systems with Applications , vol.37 , Issue.2 , pp. 1776-1783
    • Wu, Q.1
  • 22
    • 70449523013 scopus 로고    scopus 로고
    • A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization
    • Wu, Q. (2010b). A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization. Expert Systems with Applications, 37(3), 2388-2394.
    • (2010) Expert Systems with Applications , vol.37 , Issue.3 , pp. 2388-2394
    • Wu, Q.1
  • 23
    • 73449084765 scopus 로고    scopus 로고
    • Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system
    • Wu, Q. (2010c). Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system. Journal of Computational and Applied Mathematics, 233(10), 2481-2491.
    • (2010) Journal of Computational and Applied Mathematics , vol.233 , Issue.10 , pp. 2481-2491
    • Wu, Q.1
  • 24
    • 70349464481 scopus 로고    scopus 로고
    • Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wm-SVM
    • Wu, Q. (2010d). Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wm-SVM. Expert Systems with Applications, 37(1), 194-201.
    • (2010) Expert Systems with Applications , vol.37 , Issue.1 , pp. 194-201
    • Wu, Q.1
  • 25
    • 67650524191 scopus 로고    scopus 로고
    • The fuzzy wavelet classifier machine with penalizing hybrid noises from complex diagnosis system
    • Wu, Q., Liu, J., Xiong, F. L., & Liu, X. J. (2009). The fuzzy wavelet classifier machine with penalizing hybrid noises from complex diagnosis system. Acta Automatica Sinica (in Chinese), 35(6), 773-779.
    • (2009) Acta Automatica Sinica (in Chinese) , vol.35 , Issue.6 , pp. 773-779
    • Wu, Q.1    Liu, J.2    Xiong, F.L.3    Liu, X.J.4
  • 26
    • 58349084263 scopus 로고    scopus 로고
    • A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression
    • Wu, C. H., Tzeng, G. H., & Lin, R. H. (2009). A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression. Expert Systems with Applications, 36(3), 4725-4735.
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 4725-4735
    • Wu, C.H.1    Tzeng, G.H.2    Lin, R.H.3
  • 27
    • 77950519217 scopus 로고    scopus 로고
    • Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO
    • Wu, Q., Wu, S. Y., & Liu, J. (2010). Hybrid model based on SVM with Gaussian loss function and adaptive Gaussian PSO. Engineering Applications of Artificial Intelligence, 23(4), 487-494.
    • (2010) Engineering Applications of Artificial Intelligence , vol.23 , Issue.4 , pp. 487-494
    • Wu, Q.1    Wu, S.Y.2    Liu, J.3
  • 28
    • 33747777815 scopus 로고    scopus 로고
    • Fuzzy support vector machines for adaptive Morse code recognition
    • Yang, C. H., Jin, L. C., & Chuang, L. Y. (2006). Fuzzy support vector machines for adaptive Morse code recognition. Medical Engineering & Physics, 28(9), 925-931.
    • (2006) Medical Engineering & Physics , vol.28 , Issue.9 , pp. 925-931
    • Yang, C.H.1    Jin, L.C.2    Chuang, L.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.