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Volumn , Issue , 1999, Pages 138-142

Credit analysis using radial basis function networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUNCTION EVALUATION; FUNCTIONS;

EID: 84856677345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.1999.798517     Document Type: Conference Paper
Times cited : (6)

References (26)
  • 1
    • 84980104458 scopus 로고
    • Financial ratios, discriminant analysis and the prediction of corporation bankruptcy
    • Altman, E. I. Financial ratios, discriminant analysis and the prediction of corporation bankruptcy. Journal of Finance, v. 23, n. 4, pp. 589-609, 1968.
    • (1968) Journal of Finance , vol.23 , Issue.4 , pp. 589-609
    • Altman, E.I.1
  • 3
    • 0028835062 scopus 로고
    • Radial basis function network configuration using genetic algorithms
    • S. A. Billings, S. A. and G. L. Zheng. Radial basis function network configuration using genetic algorithms. natural network , v. 8, n. 6, pp. 877-890, 1995.
    • (1995) Natural Network , vol.8 , Issue.6 , pp. 877-890
    • Billings, S.A.S.A.1    Zheng, G.L.2
  • 5
    • 0000621802 scopus 로고
    • Multivariable functional interpolation and adaptive networks
    • D. S. Broomhead and D. Lowe. Multivariable functional interpolation and adaptive networks. Complex Systems, n. 2, pp. 321-355, 1988.
    • (1988) Complex Systems , Issue.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 6
    • 84958176926 scopus 로고    scopus 로고
    • Fast evolucionary learning of minimal radial basis function neural networks using a genetic algorithm
    • Forgaty, T. C. (ed) Springer-Verlag
    • B. Carse and T. C. Fogarty. Fast evolucionary learning of minimal radial basis function neural networks using a genetic algorithm. Forgaty, T. C. (ed) AISB workshop on evolucionary computing, lecture notes in computer science n 1143 1143, p. 1-22, Springer-Verlag, 1996.
    • (1996) AISB Workshop on Evolucionary Computing, Lecture Notes in Computer Science N. 1143 , pp. 1-22
    • Carse, B.1    Fogarty, T.C.2
  • 7
    • 59949100093 scopus 로고
    • Assessing credit card applications using machine learning
    • C. Carter. and J. Catlett. Assessing credit card applications using machine learning. IEEE Expert, 2 (3): 71-79, 1987.
    • (1987) IEEE Expert , vol.2 , Issue.3 , pp. 71-79
    • Carter, C.1    Catlett, J.2
  • 8
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • S. Chen, C. F. N Cowan and P. M. Grant. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on Neural Networks, v. 2, n. 2, pp. 302-309, 1991.
    • (1991) IEEE Transactions on Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 11
    • 0003081097 scopus 로고
    • Using neural networks for credit scoring
    • H. L. Jensen. Using neural networks for credit scoring. Managerial Finance, pp. 15-26, 1992.
    • (1992) Managerial Finance , pp. 15-26
    • Jensen, H.L.1
  • 12
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feacture maps
    • T. Kohonen. Self-organized formation of topologically correct feacture maps. Biological Cybernetics, v. 43, pp. 59-69, 1982.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 13
    • 85040452372 scopus 로고    scopus 로고
    • Utilização de redes neurais artificiais na análise de risco de crédito a pessoas físicas (in Portuguese)
    • E. F. Mendes, A. C. P. L. F. Carvalho and A. B. Matias. Utilização de redes neurais artificiais na análise de risco de crédito a pessoas físicas (in portuguese). In III Brazilian Symposium on Neural Networks, pp. 287-292, 1996.
    • (1996) III Brazilian Symposium on Neural Networks , pp. 287-292
    • Mendes, E.F.1    Carvalho, A.C.P.L.F.2    Matias, A.B.3
  • 15
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • J. Moody and C. J. Darken. Fast learning in networks of locally-tuned processing units. Neural Computation, v. 1, n. 2, pp. 281-294, 1989.
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 16
    • 0001867927 scopus 로고
    • Functional equivalence and genetic learning of RBF networks
    • Pearson D. W., Steele N. C. and Albrecht R. F. (eds) Springer-Verlag
    • R. Neruda. Functional equivalence and genetic learning of RBF networks. Pearson D. W., Steele N. C. and Albrecht R. F. (edsArtificial natural nets and genetic algorithms, pp. 53-56, Springer-Verlag, 1995.
    • (1995) Artificial Natural Nets and Genetic Algorithms , pp. 53-56
    • Neruda, R.1
  • 17
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio and F. Girosi. Networks for approximation and learning. Proceedings of the IEEE, v. 78, n. 9, pp. 1481-1497, 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 18
    • 0001739142 scopus 로고
    • The theory of radial basis function approximation in 1990
    • Oxford: Clarendon In: LIGHT, W. ed
    • M. Powell. The theory of radial basis function approximation in 1990. In: LIGHT, W. ed. advances in numerical analysis v. 3, pp. 105-210, Oxford: Clarendon, 1992.
    • (1992) Advances in Numerical Analysis , vol.3 , pp. 105-210
    • Powell, M.1
  • 20
    • 0004042460 scopus 로고
    • Technical Report 21/94 Fakultat fur Informatik, University Karlsruhe, (ftp. ira. uka. de/pub/neuron/proben1. tar. gz)
    • L. Prechelt. Proben1-a set of neural network benchmark problems and benchmarking rules. Technical Report 21/94, Fakultat fur Informatik, University Karlsruhe, (ftp. ira. uka. de/pub/neuron/proben1. tar. gz), 1994.
    • (1994) Proben1-a Set of Neural Network Benchmark Problems and Benchmarking Rules
    • Prechelt, L.1
  • 21
    • 0000140717 scopus 로고
    • Predicting consumer credit performance: Can neural networks outperform traditional statistical methods
    • L. Richeson, R. Zimmerman and K. Barnett. Predicting Consumer Credit Performance: Can Neural Networks Outperform Traditional Statistical Methods., Int. journal of applied experts system n. 2, pp. 116-130, 1994.
    • (1994) Int. Journal of Applied Experts System , pp. 116-130
    • Richeson, L.1    Zimmerman, R.2    Barnett, K.3
  • 24
    • 0028208116 scopus 로고
    • Evolving space-fiiling curves to distribute radial basis functions over an input space
    • B. A. Whitehead, and T. D. Choate. Evolving space-fiiling curves to distribute radial basis functions over an input space.,IEEE transaction on natural networksv. 5, n. 1, p. 15-23, 1994.
    • (1994) IEEE Transaction on Natural Networks , vol.5 , Issue.1 , pp. 15-23
    • Whitehead, B.A.1    Choate, T.D.2
  • 25
    • 0030197198 scopus 로고    scopus 로고
    • Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
    • B. A. Whitehead, and T. D. Choate. -Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction. IEEE transaction on natural networks v. 7, n. 4, pp. 869-880, 1996.
    • (1996) IEEE Transaction on Natural Networks , vol.7 , Issue.4 , pp. 869-880
    • Whitehead, B.A.1    Choate, T.D.2
  • 26
    • 0028387642 scopus 로고
    • Neural networks: Applications in industry, business and science
    • B. Widrow, D. E. Rumelhart and M. A. Lehr, Neural networks: Applications in industry, business and science, Communications of the ACM, v. 37, n. 3, pp. 93-105, 1994.
    • (1994) Communications of the ACM , vol.37 , Issue.3 , pp. 93-105
    • Widrow, B.1    Rumelhart, D.E.2    Lehr, M.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.