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Volumn 94, Issue 1-4, 1996, Pages 151-178

Fuzzy HMC classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FUZZY SETS; HIERARCHICAL SYSTEMS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; PROBLEM SOLVING;

EID: 0030269785     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/0020-0255(96)00130-2     Document Type: Article
Times cited : (7)

References (17)
  • 3
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    • The art of adaptive pattern recognition by a self-organizing neural network
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    • G. A. Carpenter and S. Grossberg, The art of adaptive pattern recognition by a self-organizing neural network, Computer (March 1988).
    • (1988) Computer
    • Carpenter, G.A.1    Grossberg, S.2
  • 5
    • 0025260229 scopus 로고
    • Parallel self-organizing, hierarchical neural networks
    • O. K. Ersoy and D. Hong, Parallel self-organizing, hierarchical neural networks, IEEE Trans. Neural Net. 1 (1990).
    • (1990) IEEE Trans. Neural Net. , vol.1
    • Ersoy, O.K.1    Hong, D.2
  • 6
    • 0027664067 scopus 로고
    • Parallel self-organizing, hierarchical neural networks with competitive learning and safe rejection schemes
    • S. Cho, O. K. Ersoy, and M. R. Lehto, Parallel self-organizing, hierarchical neural networks with competitive learning and safe rejection schemes, IEEE Trans. Circ. Syst. 40(9) (1993).
    • (1993) IEEE Trans. Circ. Syst. , vol.40 , Issue.9
    • Cho, S.1    Ersoy, O.K.2    Lehto, M.R.3
  • 7
    • 0028420124 scopus 로고
    • Object recognition by a massively parallel 2-D neural architecture
    • April
    • W. A. Porter and W. Liu, Object recognition by a massively parallel 2-D neural architecture, Multidimens. Syst. Sig. Process. (April 1994).
    • (1994) Multidimens. Syst. Sig. Process.
    • Porter, W.A.1    Liu, W.2
  • 8
    • 0027149355 scopus 로고
    • Recent progress on higher order moment neural arrays
    • W. A. Porter, Recent progress on higher order moment neural arrays, Circ. Syst. Sig. Process. 12(2) (1993).
    • (1993) Circ. Syst. Sig. Process. , vol.12 , Issue.2
    • Porter, W.A.1
  • 9
    • 0039018593 scopus 로고
    • Efficient exemplars for classifier design
    • W. A. Porter and W. Liu, Efficient exemplars for classifier design, J. Franklin Inst., pp. 155-172 (1995).
    • (1995) J. Franklin Inst. , pp. 155-172
    • Porter, W.A.1    Liu, W.2
  • 10
    • 1842609851 scopus 로고
    • On the performance of higher order moment neural computation
    • Durham, NC, October
    • W. A. Porter and W. Liu, On the performance of higher order moment neural computation, in Proc. 2nd Int. Fuzzy Theory and Tech. Conf., Durham, NC, October 1993.
    • (1993) Proc. 2nd Int. Fuzzy Theory and Tech. Conf.
    • Porter, W.A.1    Liu, W.2
  • 11
    • 0029753420 scopus 로고    scopus 로고
    • Auxiliary computations for perceptron networks
    • W. A. Porter and W. Liu, Auxiliary computations for perceptron networks, Circ. Syst. Sig. Process. 15(1):51-69 (1996).
    • (1996) Circ. Syst. Sig. Process. , vol.15 , Issue.1 , pp. 51-69
    • Porter, W.A.1    Liu, W.2
  • 12
    • 0028500304 scopus 로고
    • Steering higher order moment calculations from lower dimensional spaces
    • W. A. Porter and W. Liu, Steering higher order moment calculations from lower dimensional spaces, Inf. Sci. 80(3):181-194 (1994).
    • (1994) Inf. Sci. , vol.80 , Issue.3 , pp. 181-194
    • Porter, W.A.1    Liu, W.2
  • 13
    • 0026870556 scopus 로고
    • Using polynomic embedding for neural network design
    • W. A. Porter, Using polynomic embedding for neural network design, IEEE Trans. Circ. Syst. 39(6):369-376 (1992).
    • (1992) IEEE Trans. Circ. Syst. , vol.39 , Issue.6 , pp. 369-376
    • Porter, W.A.1
  • 14
    • 0042316619 scopus 로고    scopus 로고
    • Designing large scale classifiers
    • Baton Rouge, LA, March 31-April 2
    • W. A. Porter and W. Liu, Designing large scale classifiers, in Proc. IEEE SSST '96, Baton Rouge, LA, March 31-April 2, 1996.
    • (1996) Proc. IEEE SSST '96
    • Porter, W.A.1    Liu, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.