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Volumn 6353 LNCS, Issue PART 2, 2010, Pages 21-29

Support vector machines-kernel algorithms for the estimation of the water supply in Cyprus

Author keywords

[No Author keywords available]

Indexed keywords

5-FOLD CROSS VALIDATION METHOD; FUZZY PARTITION; INPUT PARAMETER; OPTIMIZATION APPROACH; REGRESSION SUPPORT VECTOR MACHINES; RESEARCH EFFORTS; TESTING PHASE; TRAINING DATA SETS;

EID: 78049407914     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15822-3_3     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • 85013694253 scopus 로고    scopus 로고
    • Fuzzy modeling and genetic algorithms for data mining and exploration
    • Cox, E.: Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration. Elsevier Science, USA (2005)
    • (2005) Elsevier Science, USA
    • Cox, E.1
  • 10
    • 33746830757 scopus 로고    scopus 로고
    • Using support vector machines for long-term discharge prediction
    • French
    • Lin, J. Y., Cheng, C. T., Chau, K. W.: Using support vector machines for long-term discharge prediction. Hydrological Sciences Journal 51, 599-612 (2006) (in French)
    • (2006) Hydrological Sciences Journal , vol.51 , pp. 599-612
    • Lin, J.Y.1    Cheng, C.T.2    Chau, K.W.3
  • 11
    • 0005946796 scopus 로고    scopus 로고
    • Control of water levels in polder areas using neural networks and fuzzy adaptive systems
    • Savic, D., Walters, G. A. eds., Research Studies Press, Baldock
    • Lobbrecht, A. H., Solomatine, D. P.: Control of water levels in polder areas using neural networks and fuzzy adaptive systems. In: Savic, D., Walters, G. A. (eds.) Water Industry Systems: Modelling and Optimization Applications, vol. 1, pp. 509-518. Research Studies Press, Baldock (1999)
    • (1999) Water Industry Systems: Modelling and Optimization Applications , vol.1 , pp. 509-518
    • Lobbrecht, A.H.1    Solomatine, D.P.2
  • 14
    • 78049362269 scopus 로고    scopus 로고
    • Arizona State University, USA
    • Refaeilzadeh, P., Tang, L., Liu, H.: Cross-Validation. Arizona State University, USA (2008), http://www.public.asu.edu/~ltang9/papers/ency-cross- validation.pdf
    • (2008) Cross-validation
    • Refaeilzadeh, P.1    Tang, L.2    Liu, H.3
  • 15
    • 0032138822 scopus 로고    scopus 로고
    • Takagi-sugeno-kang fuzzy structures in dynamic system modeling issues of linear takagi-sugeno fuzzy models
    • Schnitman, L., Felippe de Souza, J. A. M., Yoneyama, T.: Takagi-Sugeno-Kang Fuzzy Structures in Dynamic System Modeling Issues of Linear Takagi-Sugeno Fuzzy Models. IEEE. Trans. on Fuzzy Systems 6(3), 402-410 (1998)
    • (1998) IEEE. Trans. on Fuzzy Systems , vol.6 , Issue.3 , pp. 402-410
    • Schnitman, L.1    Felippe De Souza, J.A.M.2    Yoneyama, T.3
  • 16
    • 84887252594 scopus 로고    scopus 로고
    • Support Vector method for function approximation regression estimation and signal processing
    • Mozer, M., Jordan, M., Petsche, T. eds., MIT Press, Cambridge
    • Vapnik, V. N., Golowich, S., Smola, A.: Support Vector method for function approximation regression estimation and signal processing. In: Mozer, M., Jordan, M., Petsche, T. (eds.) Advances in Neural Information Processing Systems, vol. 9, pp. 281-287. MIT Press, Cambridge (1997)
    • (1997) Advances in Neural. Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.N.1    Golowich, S.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.