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Volumn 7, Issue 3, 1996, Pages 757-761

Incremental backpropagation learning networks

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONSTRAINT THEORY; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATTERN RECOGNITION; VECTORS;

EID: 0030141870     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.501732     Document Type: Article
Times cited : (88)

References (15)
  • 1
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    • What size net gives valid generalization?
    • E. B. Baum and D. Haussler, "What size net gives valid generalization?" Neural Computa., vol. 1, pp. 151-160, 1989.
    • (1989) Neural Computa. , vol.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 2
    • 0026923589 scopus 로고
    • Fuzzy ARTMAP: A neural-network architecture for incremental supervised learning of analog multidimensional maps
    • G. A. Carpenter, S. Grossberg, N. Markuzon, J. H. Reynolds, and D. B. Rosen, "Fuzzy ARTMAP: A neural-network architecture for incremental supervised learning of analog multidimensional maps," IEEE Trans. Neural Networks, vol. 3, pp. 698-713, 1992.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 698-713
    • Carpenter, G.A.1    Grossberg, S.2    Markuzon, N.3    Reynolds, J.H.4    Rosen, D.B.5
  • 5
    • 0027245159 scopus 로고
    • Knowledge-based connectionism for revising domain theories
    • L. M. Fu, "Knowledge-based connectionism for revising domain theories," IEEE Trans. Syst., Man, Cybern., vol. 23, pp. 173-182, 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern. , vol.23 , pp. 173-182
    • Fu, L.M.1
  • 7
    • 0024732792 scopus 로고
    • Connectionist learning procedures
    • G. E. Hinton, "Connectionist learning procedures," Artificial Intell., vol. 40, pp. 185-234, 1989.
    • (1989) Artificial Intell. , vol.40 , pp. 185-234
    • Hinton, G.E.1
  • 8
    • 0028495381 scopus 로고
    • A neural-network learning algorithm tailored for VLSI implementation
    • P. W. Hollis and J. J. Paulos, "A neural-network learning algorithm tailored for VLSI implementation," IEEE Trans. Neural Networks, vol. 5, pp. 784-791, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 784-791
    • Hollis, P.W.1    Paulos, J.J.2
  • 13
    • 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
  • 14
    • 85158010005 scopus 로고
    • Refinement of approximate domain theories by knowledge-based neural networks
    • Boston, MA
    • G. G. Towell, J. W. Shavlik, and M. O. Noordewier, "Refinement of approximate domain theories by knowledge-based neural networks," in Proc. 8th Nat. Conf. Artificial Intell., Boston, MA, 1990, pp. 861-866.
    • (1990) Proc. 8th Nat. Conf. Artificial Intell. , pp. 861-866
    • Towell, G.G.1    Shavlik, J.W.2    Noordewier, M.O.3
  • 15
    • 0029266590 scopus 로고
    • Neural network for solving linear programming problems with bounded variables
    • Y. Xia and J. Wang, "Neural network for solving linear programming problems with bounded variables," IEEE Trans. Neural Networks, vol. 6, pp. 515-519, 1995.
    • (1995) IEEE Trans. Neural Networks , vol.6 , pp. 515-519
    • Xia, Y.1    Wang, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.