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Volumn 19, Issue 2, 2004, Pages 249-253

Rule extraction: Using neural networks or for neural networks?

Author keywords

Accuracy; Fidelity; Machine learning; Neural network; Rule extraction

Indexed keywords

ALGORITHMS; FINITE AUTOMATA; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; NEURAL NETWORKS;

EID: 1642327509     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02944803     Document Type: Article
Times cited : (58)

References (34)
  • 1
    • 0029484103 scopus 로고
    • Survey and critique of techniques for extracting rules from trained artificial neural networks
    • Andrews R, Diederich J, Tickle A B. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-Based Systems, 1995, 8(6): 373-389.
    • (1995) Knowledge-Based Systems , vol.8 , Issue.6 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.B.3
  • 2
    • 0032208720 scopus 로고    scopus 로고
    • The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks
    • Tickle A B, Andrews R, Golea M et al. The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks. IEEE Trans. Neural Networks, 1998, 9(6): 1057-1067.
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.6 , pp. 1057-1067
    • Tickle, A.B.1    Andrews, R.2    Golea, M.3
  • 3
    • 0023962833 scopus 로고
    • Connectionist expert systems
    • Gallant S I. Connectionist expert systems. Communications of the ACM, 1988, 31(2): 152-169.
    • (1988) Communications of the ACM , vol.31 , Issue.2 , pp. 152-169
    • Gallant, S.I.1
  • 5
    • 85150197299 scopus 로고
    • Extracting rules from artificial neural networks with distributed representations
    • Tesauro G, Touretzky D, Leen T (Eds.), Cambridge, MA, MIT Press
    • Thrun S. Extracting rules from artificial neural networks with distributed representations. In Advances in Neural Information Processing Systems 7, Tesauro G, Touretzky D, Leen T (Eds.), Cambridge, MA, MIT Press, 1995, pp.505-512.
    • (1995) Advances in Neural Information Processing Systems 7 , pp. 505-512
    • Thrun, S.1
  • 6
    • 85156234012 scopus 로고    scopus 로고
    • Extracting tree-structured representations of trained networks
    • Touretzky D, Mozer M, Hasselmo M (Eds.), Cambridge, MA, MIT Press
    • Craven M W, Shavlik J W. Extracting tree-structured representations of trained networks. In Advances in Neural Information Processing Systems 8, Touretzky D, Mozer M, Hasselmo M (Eds.), Cambridge, MA, MIT Press, 1996, pp.24-30.
    • (1996) Advances in Neural Information Processing Systems 8 , pp. 24-30
    • Craven, M.W.1    Shavlik, J.W.2
  • 8
    • 0030631792 scopus 로고    scopus 로고
    • Extracting rules from neural networks by pruning and hidden-unit splitting
    • Setiono R. Extracting rules from neural networks by pruning and hidden-unit splitting. Neural Computation, 1997, 9(1): 205-225.
    • (1997) Neural Computation , vol.9 , Issue.1 , pp. 205-225
    • Setiono, R.1
  • 11
    • 0028481609 scopus 로고
    • Fuzzy MLP based expert system for medical diagnosis
    • Mitra S. Fuzzy MLP based expert system for medical diagnosis. Fuzzy Sets and Systems, 1994, 65(2-3): 285-296.
    • (1994) Fuzzy Sets and Systems , vol.65 , Issue.2-3 , pp. 285-296
    • Mitra, S.1
  • 12
    • 0036129249 scopus 로고    scopus 로고
    • Interpretation of artificial neural networks by means of fuzzy rules
    • Castro J L, Mantas C J, Benitez J M. Interpretation of artificial neural networks by means of fuzzy rules. IEEE Trans. Neural Networks, 2002, 13(1): 101-116.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.1 , pp. 101-116
    • Castro, J.L.1    Mantas, C.J.2    Benitez, J.M.3
  • 13
    • 0001327717 scopus 로고
    • Learning and extracting finite state automata with second-order recurrent neural networks
    • Giles C L, Miller C B, Chen D et al. Learning and extracting finite state automata with second-order recurrent neural networks. Neural Computation, 1992, 4(3): 393-405.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 393-405
    • Giles, C.L.1    Miller, C.B.2    Chen, D.3
  • 15
    • 84953506049 scopus 로고
    • Extraction, insertion, and refinement of symbolic rules in dynamically driven recurrent networks
    • Giles C L, Omlin C W. Extraction, insertion, and refinement of symbolic rules in dynamically driven recurrent networks. Connection Science, 1993, 5(3-4): 307-328.
    • (1993) Connection Science , vol.5 , Issue.3-4 , pp. 307-328
    • Giles, C.L.1    Omlin, C.W.2
  • 16
    • 0036887503 scopus 로고    scopus 로고
    • Extracting regression rules from neural networks
    • Saito K, Nakano R. Extracting regression rules from neural networks. Neural Networks, 2002, 15(10): 1279-1288.
    • (2002) Neural Networks , vol.15 , Issue.10 , pp. 1279-1288
    • Saito, K.1    Nakano, R.2
  • 17
    • 0036565303 scopus 로고    scopus 로고
    • Extraction of rules from artificial neural networks for nonlinear regression
    • Setiono R, Leow W K, Zurada J M. Extraction of rules from artificial neural networks for nonlinear regression. IEEE Trans. Neural Networks, 2002, 13(3): 564-577.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.3 , pp. 564-577
    • Setiono, R.1    Leow, W.K.2    Zurada, J.M.3
  • 21
    • 0033715572 scopus 로고    scopus 로고
    • On connectionism, rule extraction, and brain-like learning
    • Roy A. On connectionism, rule extraction, and brain-like learning. IEEE Trans. Fuzzy Systems, 2000, 8(2): 222-227.
    • (2000) IEEE Trans. Fuzzy Systems , vol.8 , Issue.2 , pp. 222-227
    • Roy, A.1
  • 22
    • 0035271419 scopus 로고    scopus 로고
    • A new methodology of extraction, optimization and application of crisp and fuzzy logical rules
    • Duch W, Adamczak R, Grabczewski K. A new methodology of extraction, optimization and application of crisp and fuzzy logical rules. IEEE Trans. Neural Networks, 2001, 12(2): 277-306.
    • (2001) IEEE Trans. Neural Networks , vol.12 , Issue.2 , pp. 277-306
    • Duch, W.1    Adamczak, R.2    Grabczewski, K.3
  • 23
    • 0038030864 scopus 로고    scopus 로고
    • Extracting symbolic rules from trained neural network ensembles
    • Zhou Z H, Jiang Y, Chen S F. Extracting symbolic rules from trained neural network ensembles. AI Communications, 2003, 16(1): 3-15.
    • (2003) AI Communications , vol.16 , Issue.1 , pp. 3-15
    • Zhou, Z.H.1    Jiang, Y.2    Chen, S.F.3
  • 24
    • 0027678679 scopus 로고
    • The extraction of refined rules from knowledge based neural networks
    • Towell G, Shavlik, J. The extraction of refined rules from knowledge based neural networks. Machine Learning, 1993, 13(1): 71-101.
    • (1993) Machine Learning , vol.13 , Issue.1 , pp. 71-101
    • Towell, G.1    Shavlik, J.2
  • 25
    • 0028482883 scopus 로고
    • Rule generation from neural networks
    • Fu L. Rule generation from neural networks. IEEE Trans. Systems, Man and Cybernetics, 1994, 24(8): 1114-1124.
    • (1994) IEEE Trans. Systems, Man and Cybernetics , vol.24 , Issue.8 , pp. 1114-1124
    • Fu, L.1
  • 27
  • 28
    • 0033751611 scopus 로고    scopus 로고
    • Extracting M-of-N rules from trained neural networks
    • Setiono R. Extracting M-of-N rules from trained neural networks. IEEE Trans. Neural Networks, 2000, 11(2): 512-519.
    • (2000) IEEE Trans. Neural Networks , vol.11 , Issue.2 , pp. 512-519
    • Setiono, R.1
  • 30
    • 0001941003 scopus 로고
    • Comparing connectionist and symbolic learning methods
    • Rivest R L (Ed.); Cambridge, MA, MIT Press
    • Quinlan J R. Comparing connectionist and symbolic learning methods. In Computational Learning Theory and Natural Learning Systems, Rivest R L (Ed.), Vol.1, Cambridge, MA, MIT Press, 1994, pp.445-456.
    • (1994) Computational Learning Theory and Natural Learning Systems , vol.1 , pp. 445-456
    • Quinlan, J.R.1
  • 32
    • 0032812327 scopus 로고    scopus 로고
    • Rule-extraction by backpropagation of polyhedra
    • Maire F. Rule-extraction by backpropagation of polyhedra. Neural Networks, 1999, 12(4-5): 717-725.
    • (1999) Neural Networks , vol.12 , Issue.4-5 , pp. 717-725
    • Maire, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.