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Volumn 9, Issue 5, 1998, Pages 877-890

Fuzzy Lattice Neural Network (FLNN): A hybrid model for learning

Author keywords

ART neural networks; Clustering methods; Decision support systems; Fuzzy lattice theory; Fuzzy neural networks; Learning systems; Pattern classification; Pattern recognition

Indexed keywords

ADAPTIVE SYSTEMS; DECISION SUPPORT SYSTEMS; FUZZY SETS; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 0032165292     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.712161     Document Type: Article
Times cited : (95)

References (36)
  • 1
    • 0001578518 scopus 로고
    • A learning algorithm for Boltzmann machines
    • D. H. Ackley, G. E. Hinton, and T. J. Sejnowski, "A learning algorithm for Boltzmann machines," Cognitive Sci., vol. 9, pp. 147-169, 1985.
    • (1985) Cognitive Sci. , vol.9 , pp. 147-169
    • Ackley, D.H.1    Hinton, G.E.2    Sejnowski, T.J.3
  • 2
    • 0025898312 scopus 로고
    • Dualistic geometry of the manifold of higher-order neurons
    • S. I. Amari, "Dualistic geometry of the manifold of higher-order neurons," Neural Networks, vol. 4, no. 4, pp. 443-451, 1991.
    • (1991) Neural Networks , vol.4 , Issue.4 , pp. 443-451
    • Amari, S.I.1
  • 3
    • 84910707803 scopus 로고
    • Providence, RI: American Mathematical Society, Colloquium Publications
    • G. Birkhoff, Lattice Theory. Providence, RI: American Mathematical Society, Colloquium Publications, vol. 25, 1967.
    • (1967) Lattice Theory , vol.25
    • Birkhoff, G.1
  • 4
    • 0021776661 scopus 로고
    • A massively parallel architecture for self-organizing neural pattern recognition machine
    • G. Carpenter and S. Grossberg, "A massively parallel architecture for self-organizing neural pattern recognition machine," Comput. Vision, Graphics, and Image Understanding, vol. 37, pp. 54-115, 1987.
    • (1987) Comput. Vision, Graphics, and Image Understanding , vol.37 , pp. 54-115
    • Carpenter, G.1    Grossberg, S.2
  • 5
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • G. Carpenter, S. Grossberg, and D. Rosen, "Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system," Neural Networks, vol. 4, pp. 759-771, 1991.
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.1    Grossberg, S.2    Rosen, D.3
  • 6
    • 0030086029 scopus 로고    scopus 로고
    • Supervisory control of real-time discrete-event systems using lattice theory
    • D. D. Cofer and V. K. Garg, "Supervisory control of real-time discrete-event systems using lattice theory," IEEE Trans. Automat. Contr., vol. 41, pp. 199-209, 1996.
    • (1996) IEEE Trans. Automat. Contr. , vol.41 , pp. 199-209
    • Cofer, D.D.1    Garg, V.K.2
  • 7
    • 0002762779 scopus 로고
    • G. A. Carpenter and S. Grossberg, Eds. Cambridge, MA: MIT Press
    • R. Desimone, Neural Networks for Vision and Image Processing, G. A. Carpenter and S. Grossberg, Eds. Cambridge, MA: MIT Press, 1992, pp. 343-364.
    • (1992) Neural Networks for Vision and Image Processing , pp. 343-364
    • Desimone, R.1
  • 8
    • 0030245757 scopus 로고    scopus 로고
    • Classifying biosignals with wavelet networks
    • H. Dickhaus and H. Heinrich, "Classifying biosignals with wavelet networks," IEEE Eng. Medicine Biol. Mag., vol. 15, no. 5, pp. 103-111, 1996.
    • (1996) IEEE Eng. Medicine Biol. Mag. , vol.15 , Issue.5 , pp. 103-111
    • Dickhaus, H.1    Heinrich, H.2
  • 10
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. Fisher, "The use of multiple measurements in taxonomic problems," Ann. Eugenics, vol. 7, no. II, pp. 179-188, 1936.
    • (1936) Ann. Eugenics , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.1
  • 11
    • 0020970740 scopus 로고
    • Neocognitron: A neural-network model for a mechanism of visual pattern recognition
    • K. Fukushima, S. Miyake, and T. Ito, "Neocognitron: A neural-network model for a mechanism of visual pattern recognition," IEEE Trans. Syst., Man, Cybern., vol. SMC-13, 5, pp. 826-834, 1983.
    • (1983) IEEE Trans. Syst., Man, Cybern. , vol.SMC-13 , Issue.5 , pp. 826-834
    • Fukushima, K.1    Miyake, S.2    Ito, T.3
  • 13
    • 0028868071 scopus 로고
    • The attentive brain
    • S. Grossberg, "The attentive brain," Amer. Sci., vol. 83, pp. 438-449, 1995.
    • (1995) Amer. Sci. , vol.83 , pp. 438-449
    • Grossberg, S.1
  • 15
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational ability
    • J. J. Hopfield, "Neural networks and physical systems with emergent collective computational ability," in Proc. Nat. Academy Sci., vol. 79, pp. 2554-2558, 1982.
    • (1982) Proc. Nat. Academy Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 16
    • 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., vol. 1, pp. 85-97, 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 85-97
    • Ishibuchi, H.1    Fujioka, R.2    Tanaka, H.3
  • 17
    • 0030130724 scopus 로고    scopus 로고
    • Structural learning with forgetting
    • M. Ishikawa, "Structural learning with forgetting," Neural Networks, vol. 9, no. 3, pp. 509-521, 1996.
    • (1996) Neural Networks , vol.9 , Issue.3 , pp. 509-521
    • Ishikawa, M.1
  • 18
    • 0030855588 scopus 로고    scopus 로고
    • On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques
    • A. Joshi, N. Ramakrishman, E. N. Houstis, and J. R. Rice, "On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques," IEEE Trans. Neural Networks, vol. 8, pp. 18-31.
    • IEEE Trans. Neural Networks , vol.8 , pp. 18-31
    • Joshi, A.1    Ramakrishman, N.2    Houstis, E.N.3    Rice, J.R.4
  • 24
  • 25
    • 0030241728 scopus 로고    scopus 로고
    • Fuzzy self-organization, inferencing, and rule generation
    • S. Mitra and S. K. Pal, "Fuzzy self-organization, inferencing, and rule generation," IEEE Trans. Syst., Man, Cybern. A, vol. 26, pp. 608-620, 1996.
    • (1996) IEEE Trans. Syst., Man, Cybern. A , vol.26 , pp. 608-620
    • Mitra, S.1    Pal, S.K.2
  • 26
    • 0030130884 scopus 로고    scopus 로고
    • Network constraints and multiobjective optimization for one-class classification
    • M. Moya and D. R. Hush, "Network constraints and multiobjective optimization for one-class classification," Neural Networks, vol. 9, no. 3, pp. 463-474, 1996.
    • (1996) Neural Networks , vol.9 , Issue.3 , pp. 463-474
    • Moya, M.1    Hush, D.R.2
  • 27
    • 0027379242 scopus 로고
    • A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information
    • B. A. Olshausen, C. H. Anderson, and D. C. Van Essen, "A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information," J. Neurosci., vol. 13, no. 11, pp. 4700-4719, 1993.
    • (1993) J. Neurosci. , vol.13 , Issue.11 , pp. 4700-4719
    • Olshausen, B.A.1    Anderson, C.H.2    Van Essen, D.C.3
  • 28
    • 0029880174 scopus 로고    scopus 로고
    • Extraction of rules from discrete-time recurrent neural networks
    • C. W. Omlin and C. L. Giles, "Extraction of rules from discrete-time recurrent neural networks," Neural Networks, vol. 9, no. 1, pp. 41-52, 1996.
    • (1996) Neural Networks , vol.9 , Issue.1 , pp. 41-52
    • Omlin, C.W.1    Giles, C.L.2
  • 29
    • 33749802291 scopus 로고    scopus 로고
    • FLN: A fuzzy lattice neural network scheme for clustering
    • San Diego, CA, Sept. 15-18
    • V. Petridis and V. G. Kaburlasos, "FLN: A fuzzy lattice neural network scheme for clustering," in Proc. World Congr. Neural Networks 1996 (WCNN'96), San Diego, CA, Sept. 15-18, 1996, pp. 942-945.
    • (1996) Proc. World Congr. Neural Networks 1996 (WCNN'96) , pp. 942-945
    • Petridis, V.1    Kaburlasos, V.G.2
  • 30
    • 0026927202 scopus 로고
    • Fuzzy min-max neural networks - Part 1: Classification
    • P. K. Simpson, "Fuzzy min-max neural networks - Part 1: Classification," IEEE Trans. Neural Networks, vol. 3, pp. 776-786, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 776-786
    • Simpson, P.K.1
  • 31
    • 0027542561 scopus 로고
    • Fuzzy min-max neural networks - Part 2: Clustering
    • _, "Fuzzy min-max neural networks - Part 2: Clustering," IEEE Trans. Fuzzy Syst., vol. 1, pp. 32-45, 1993.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 32-45
  • 32
    • 0025399335 scopus 로고
    • Probabilistic neural networks and the polynomial adaline as complementary techniques for classification
    • D. F. Specht, "Probabilistic neural networks and the polynomial adaline as complementary techniques for classification," IEEE Trans. Neural Networks, vol. 1, pp. 111-121, 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , pp. 111-121
    • Specht, D.F.1
  • 33
    • 0028370964 scopus 로고
    • Rule-base structure identification in an adaptive-network-based fuzzy inference system
    • C.-T. Sun, "Rule-base structure identification in an adaptive-network-based fuzzy inference system," IEEE Trans. Fuzzy Syst., vol. 2, pp. 64-73, 1994.
    • (1994) IEEE Trans. Fuzzy Syst. , vol.2 , pp. 64-73
    • Sun, C.-T.1
  • 34
    • 0029009071 scopus 로고
    • Adaptive resonance associative map
    • A.-H. Tan, "Adaptive resonance associative map," Neural Networks, vol. 8, no. 3, pp. 437-446, 1995.
    • (1995) Neural Networks , vol.8 , Issue.3 , pp. 437-446
    • Tan, A.-H.1
  • 35
    • 34248666540 scopus 로고
    • Fuzzy sets
    • L. A. Zadeh, "Fuzzy sets," Inform. Contr., vol. 8, pp. 338-353, 1965.
    • (1965) Inform. Contr. , vol.8 , pp. 338-353
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.