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Volumn 90, Issue 1-4, 1996, Pages 157-177

Fuzzy neural trees

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FUZZY SETS; MATHEMATICAL MODELS; TREES (MATHEMATICS);

EID: 0030126297     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/0020-0255(95)00242-1     Document Type: Article
Times cited : (8)

References (37)
  • 1
    • 0040634335 scopus 로고
    • Dynamically generated neural network architectures
    • L. M. Sztandera, Dynamically generated neural network architectures, J. Artif. Neural Syst. 1:41-66 (1994).
    • (1994) J. Artif. Neural Syst. , vol.1 , pp. 41-66
    • Sztandera, L.M.1
  • 2
    • 0001450851 scopus 로고
    • On chosing between fuzzy subsets
    • R. R. Yager, On chosing between fuzzy subsets, Kybernetes 9:151-154 (1980).
    • (1980) Kybernetes , vol.9 , pp. 151-154
    • Yager, R.R.1
  • 4
    • 84861112102 scopus 로고
    • Spatial relations among fuzzy subsets of an image
    • B. M. Ayyub, Ed., IEEE Computer Society Press, College Park, MD
    • L. M. Sztandera and J. M. Keller, Spatial relations among fuzzy subsets of an image, in B. M. Ayyub, Ed., Uncertainty Modeling and Analysis, IEEE Computer Society Press, College Park, MD, 1990, pp. 207-211.
    • (1990) Uncertainty Modeling and Analysis , pp. 207-211
    • Sztandera, L.M.1    Keller, J.M.2
  • 5
    • 0001761211 scopus 로고
    • Fuzzy graphs in the evaluation and optimization of networks
    • L. T. Koczy, Fuzzy graphs in the evaluation and optimization of networks, Fuzzy Sets Syst. 46:307-319 (1992).
    • (1992) Fuzzy Sets Syst. , vol.46 , pp. 307-319
    • Koczy, L.T.1
  • 9
    • 0024124324 scopus 로고
    • An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning
    • S. Y. Kung and J. N. Hwang, An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning, in Proc. IEEE Int. Conf. on Neural Networks, 1988, pp. 363-370.
    • (1988) Proc. IEEE Int. Conf. on Neural Networks , pp. 363-370
    • Kung, S.Y.1    Hwang, J.N.2
  • 10
    • 1542639878 scopus 로고
    • Neural trees: A new tool for classification
    • J. A. Sirat and J. P. Nadal, Neural trees: A new tool for classification, Network 1:423-438 (1990).
    • (1990) Network , vol.1 , pp. 423-438
    • Sirat, J.A.1    Nadal, J.P.2
  • 11
    • 0024775620 scopus 로고
    • Minimum class entropy: A maximum information approach to layered networks
    • M. Bichsel and P. Seitz, Minimum class entropy: A maximum information approach to layered networks, Neural Networks 2:133-141 (1989).
    • (1989) Neural Networks , vol.2 , pp. 133-141
    • Bichsel, M.1    Seitz, P.2
  • 12
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan, Induction of decision trees, Machine Learning 1:81-106 (1986).
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 15
    • 0026837224 scopus 로고
    • A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm
    • K. J. Cios and N. Liu, A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm, IEEE Trans. Neural Networks 2:280-291 (1992).
    • (1992) IEEE Trans. Neural Networks , vol.2 , pp. 280-291
    • Cios, K.J.1    Liu, N.2
  • 16
    • 0000155950 scopus 로고
    • The cascade-correlation learning architecture
    • D. S. Touretzky, Ed., Morgan Kaufmann, Los Altos
    • S. E. Fahlman and C. Labiere, The cascade-correlation learning architecture, in D. S. Touretzky, Ed., Advances in Neural Information Processing Systems 2, Morgan Kaufmann, Los Altos, 1990, pp. 524-532.
    • (1990) Advances in Neural Information Processing Systems , vol.2 , pp. 524-532
    • Fahlman, S.E.1    Labiere, C.2
  • 18
    • 0011183864 scopus 로고
    • Decision making in a fuzzy environment generated by a neural network architecture
    • Seoul
    • L. M. Sztandera and K. J. Cios, Decision making in a fuzzy environment generated by a neural network architecture, in Proc. 5th IFSA World Congress, Seoul, 1993, pp. 73-76.
    • (1993) Proc. 5th IFSA World Congress , pp. 73-76
    • Sztandera, L.M.1    Cios, K.J.2
  • 19
  • 20
    • 45949121309 scopus 로고
    • Fast simulated annealing
    • H. Szu and R. Hartley, Fast simulated annealing, Phys. Lett. A 122(8):157-162 (1987).
    • (1987) Phys. Lett. A , vol.122 , Issue.8 , pp. 157-162
    • Szu, H.1    Hartley, R.2
  • 21
    • 0042289948 scopus 로고
    • Efficient algorithm with neural network behavior
    • S. M. Omohundro, Efficient algorithm with neural network behavior, Complex Syst. 5:348-350 (1987).
    • (1987) Complex Syst. , vol.5 , pp. 348-350
    • Omohundro, S.M.1
  • 22
    • 0025251003 scopus 로고
    • Fast recognition of real objects by an optimized hetero-associative neural network
    • H. J. Schmitz, G. Poppel, F. Wunsch, and U. Krey, Fast recognition of real objects by an optimized hetero-associative neural network, J. Phys. 51:167-183 (1990).
    • (1990) J. Phys. , vol.51 , pp. 167-183
    • Schmitz, H.J.1    Poppel, G.2    Wunsch, F.3    Krey, U.4
  • 25
    • 0022151730 scopus 로고
    • Incorporating fuzzy membership functions into the perceptron algorithm
    • J. M. Keller and D. J. Hunt, Incorporating fuzzy membership functions into the perceptron algorithm, IEEE Trans. Pattern Anal. Machine Intell. PAMI-7(6):693-699 (1985).
    • (1985) IEEE Trans. Pattern Anal. Machine Intell. , vol.PAMI-7 , Issue.6 , pp. 693-699
    • Keller, J.M.1    Hunt, D.J.2
  • 27
    • 38249012340 scopus 로고
    • Possibility and necessity pattern classification using neural networks
    • H. Ishibuchi, R. Fujioka, and H. Tanaka, Possibility and necessity pattern classification using neural networks, Fuzzy Sets Syst. 48:331-340 (1992).
    • (1992) Fuzzy Sets Syst. , vol.48 , pp. 331-340
    • Ishibuchi, H.1    Fujioka, R.2    Tanaka, H.3
  • 28
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White, Multilayer feedforward networks are universal approximators, Neural Networks 2:359-366 (1989).
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 29
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
    • K. Hornik, Approximation capabilities of multilayer feedforward networks, Neural Networks 4:251-257 (1991).
    • (1991) Neural Networks , vol.4 , pp. 251-257
    • Hornik, K.1
  • 30
    • 0011245702 scopus 로고
    • On fuzzy neuron models
    • L. A. Zadeh and J. Kacprzyk, Eds., John Wiley & Sons, Inc., New York
    • M. M. Gupta and J. Qi, On fuzzy neuron models, in L. A. Zadeh and J. Kacprzyk, Eds., Fuzzy Logic for the Management of Uncertainty, John Wiley & Sons, Inc., New York, 1992, pp. 479-491.
    • (1992) Fuzzy Logic for the Management of Uncertainty , pp. 479-491
    • Gupta, M.M.1    Qi, J.2
  • 31
    • 0012850958 scopus 로고
    • Fuzzy logic neural networks: Design and computations
    • Singapore
    • K. Hirota and W. Pedrycz, Fuzzy logic neural networks: Design and computations, in Proc. IJCNN'91 (2), Singapore, 1991, pp. 1588-1593.
    • (1991) Proc. IJCNN'91 (2) , pp. 1588-1593
    • Hirota, K.1    Pedrycz, W.2
  • 32
    • 0027595614 scopus 로고
    • Neural networks that learn from fuzzy if-then rules
    • H. Ishibuchi, R. Fujioka, and H. Tanaka, Neural networks that learn from fuzzy if-then rules, IEEE Trans. Fuzzy Syst. 1(2):85-97 (1993).
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , Issue.2 , pp. 85-97
    • Ishibuchi, H.1    Fujioka, R.2    Tanaka, H.3
  • 34
    • 0026626684 scopus 로고
    • Neural network implementation of fuzzy logic
    • J. M. Keller, R. R. Yager, and H. Tahani, Neural network implementation of fuzzy logic, Fuzzy Sets Syst. 45:1-12 (1992).
    • (1992) Fuzzy Sets Syst. , vol.45 , pp. 1-12
    • Keller, J.M.1    Yager, R.R.2    Tahani, H.3
  • 35
    • 0000056039 scopus 로고
    • Backpropagation neural networks for fuzzy logic
    • J. M. Keller and H. Tahani, Backpropagation neural networks for fuzzy logic, Inform. Sci. 62:205-221 (1992).
    • (1992) Inform. Sci. , vol.62 , pp. 205-221
    • Keller, J.M.1    Tahani, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.