메뉴 건너뛰기




Volumn 6, Issue 3, 2007, Pages 463-470

Uncertainty assessment using neural networks and interval neutrosophic sets for multiclass classification problems

Author keywords

Feedforward backpropagation neural network; Interval neutrosophic sets; Multiclass classification; Multiclass neural network; Uncertainty

Indexed keywords

BACKPROPAGATION; FEEDFORWARD NEURAL NETWORKS; INTERPOLATION; UNCERTAIN SYSTEMS;

EID: 33847757463     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (18)
  • 1
    • 0002945036 scopus 로고    scopus 로고
    • Imperfect information: Imprecision-Uncertainty
    • in A. Motro and Ph. Smets (Ed.) Kluwer Academic Publishers
    • P. Smets, Imperfect information: Imprecision-Uncertainty, in A. Motro and Ph. Smets (Ed.) Uncertainty Management in Information Systems: From Needs to Solutions, Kluwer Academic Publishers, 1997, pp. 225-254.
    • (1997) Uncertainty Management in Information Systems: From Needs to Solutions , pp. 225-254
    • Smets, P.1
  • 5
    • 0000406788 scopus 로고
    • Solving Multiclass Learning Problems via Error-Correcting Output Codes
    • T. G. Dietterich and G. Bakiri, Solving Multiclass Learning Problems via Error-Correcting Output Codes, Journal of Artificial Intelligence Research, Vol. 2, 1995, pp. 263-286.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 6
    • 0036568032 scopus 로고    scopus 로고
    • On the Learnability and Design of Output Codes for Multiclass Problems
    • K. Crammer and Y. Singer, On the Learnability and Design of Output Codes for Multiclass Problems, Machine Learning, Vol. 47, No. 2-3, 2002, pp. 201-233.
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 201-233
    • Crammer, K.1    Singer, Y.2
  • 8
    • 10444221886 scopus 로고    scopus 로고
    • Diversity Creation Methods: A Survey and Categorisation
    • G. Brown, J. Wyatt, R. Harris and X. Yao, Diversity Creation Methods: A Survey and Categorisation, Journal of Information Fusion, Vol. 6, No. 1, 2005, pp. 5-20.
    • (2005) Journal of Information Fusion , vol.6 , Issue.1 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 9
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • L. Breiman, Bagging Predictors, Machine Learning, Vol. 24, No. 2, 1996, pp. 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 10
    • 0034243471 scopus 로고    scopus 로고
    • Boosting Neural Networks
    • H. Schwenk and Y. Bengio, Boosting Neural Networks, Neural Computation, Vol. 12, No. 8, 2000, pp. 1869-1887.
    • (2000) Neural Computation , vol.12 , Issue.8 , pp. 1869-1887
    • Schwenk, H.1    Bengio, Y.2
  • 12
    • 0000781991 scopus 로고    scopus 로고
    • Models of uncertainty in spatial data
    • in P. A. Longley, M. F. Goodchild, D. J. Maguire, and D. W. Rhind (Ed.) (Chichester: John Wiley)
    • P. F. Fisher, Models of uncertainty in spatial data, in P. A. Longley, M. F. Goodchild, D. J. Maguire, and D. W. Rhind (Ed.) Geographical information systems: Principals, Techniques, Management and Applications, 2 (Chichester: John Wiley), 1999, pp. 191-205.
    • (1999) Geographical Information Systems: Principals, Techniques, Management and Applications , vol.2 , pp. 191-205
    • Fisher, P.F.1
  • 14
    • 33646831142 scopus 로고    scopus 로고
    • Assessment of Uncertainty in Mineral Prospectivity Prediction Using Interval Neutrosophic Set
    • Springer Verlag, LNAI 3802
    • P. Kraipeerapun, C. C. Fung and W. Brown, Assessment of Uncertainty in Mineral Prospectivity Prediction Using Interval Neutrosophic Set, Lecture Notes in Artificial Intelligence, Springer Verlag, LNAI 3802, 2005, pp. 1074-1079.
    • (2005) Lecture Notes in Artificial Intelligence , pp. 1074-1079
    • Kraipeerapun, P.1    Fung, C.C.2    Brown, W.3
  • 18
    • 2142796735 scopus 로고    scopus 로고
    • The constraint based decomposition (CBD) training architecture
    • S. Draghici, The constraint based decomposition (CBD) training architecture, Neural Networks, Vol. 14, No. 4-5, 2001, pp. 527-550.
    • (2001) Neural Networks , vol.14 , Issue.4-5 , pp. 527-550
    • Draghici, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.