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Volumn 4132 LNCS - II, Issue , 2006, Pages 974-981

A competitive approach to neural device modeling: Support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS;

EID: 33749821351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_101     Document Type: Conference Paper
Times cited : (4)

References (12)
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    • Poggio, T., Torre, V., and Koch, C.: Computational vision and regularization theory. Nature, Vol.317 (1985) 314-319
    • (1985) Nature , vol.317 , pp. 314-319
    • Poggio, T.1    Torre, V.2    Koch, C.3
  • 3
    • 0030086742 scopus 로고    scopus 로고
    • Signal-noise neural network model for active microwave devices
    • Gunes, F., Gurgen, F., Torpi, H.: Signal-Noise Neural Network Model For Active Microwave Devices. IEE P-Circ Dev Syst Vol.143 (1996)
    • (1996) IEE P-Circ Dev Syst , vol.143
    • Gunes, F.1    Gurgen, F.2    Torpi, H.3
  • 4
    • 27844588970 scopus 로고    scopus 로고
    • Artificial neural networks in their simplest forms for analysis and synthesis of RF/Microwave planar transmission lines
    • Gunes, F., Turker, N.: Artificial Neural Networks In Their Simplest Forms For Analysis And Synthesis Of RF/Microwave Planar Transmission Lines. Int J RF Microw C E Vol. 15 (2005) 587-600
    • (2005) Int J RF Microw C E , vol.15 , pp. 587-600
    • Gunes, F.1    Turker, N.2
  • 6
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • Mercer, J.: Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. Roy. Soc. London, (1909) 415-446
    • (1909) Philos. Trans. Roy. Soc. London , pp. 415-446
    • Mercer, J.1
  • 9
    • 84949776468 scopus 로고    scopus 로고
    • Network performance assessment for neurofuzzy data modelling
    • Intelligent Data Analysis
    • Gunn, S.R., Brown, M., Bossley, K.M.: Network performance assessment for neurofuzzy data modelling. Intelligent Data Analysis, Vol.1208 of Lecture Notes in Computer Science (1997) 313-323
    • (1997) Lecture Notes in Computer Science , vol.1208 , pp. 313-323
    • Gunn, S.R.1    Brown, M.2    Bossley, K.M.3
  • 10
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • University of Southampton
    • Gunn, S.R., Support Vector Machines for Classification and Regression. Technical Report, University of Southampton (1998)
    • (1998) Technical Report
    • Gunn, S.R.1
  • 11
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • Cambridge, MA, MIT Press
    • Vapnik, V., Golowich, S., Smola. A.: Support vector method for function approximation, regression estimation, and signal processing. Advances in Neural Information Processing Systems 9, Cambridge, MA, MIT Press. (1997) 281-287
    • (1997) Advances in Neural Information Processing Systems 9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.