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Volumn 1, Issue , 1997, Pages 266-269

Incorporating functional knowledge into neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERING PROBLEMS; GENERALIZATION CAPABILITY; KNOWLEDGE NETWORKS; LIMITED TRAINING DATA; NEURAL MODELING; NON-LINEAR MODEL; NONLINEAR FUNCTIONS; TRAINING EFFICIENCY;

EID: 0030692284     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.611676     Document Type: Conference Paper
Times cited : (1)

References (14)
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    • HONEST A new high order feedforward neural networks
    • Washington, D. C., June
    • A. Abdelbar and G. Tagliarini. HONEST A new high order feedforward neural networks. In Proc. IEEE Int. Con Neural Networks, pages 1257-1262, Washington, D. C., June 1996.
    • (1996) Proc. IEEE Int. Con Neural Networks , pp. 1257-1262
    • Abdelbar, A.1    Tagliarini, G.2
  • 3
    • 0007523219 scopus 로고
    • Integration of neural heuristics into knowledgebased inference
    • L. M. Fu. Integration of neural heuristics into knowledgebased inference. Connection Science, 1:325-340,1989.
    • (1989) Connection Science , vol.1 , pp. 325-340
    • Fu, L.M.1
  • 6
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    • Rational function neural network
    • H. Leung and S. Haykin. Rational function neural network. Neural Computai'l'on(,5 ):928-938,1993.
    • (1993) Neural Computai'l'on , Issue.5 , pp. 928-938
    • Leung, H.1    Haykin, S.2
  • 7
    • 21344480887 scopus 로고
    • Combining connectianist and symbolic leaming to refine certainty factor rule bases
    • J. J. Mahoney and R. J. Mooney. Combining connectianist and symbolic leaming to refine certainty factor rule bases. Connection Science, 5(3 and 4):339-364,1993.
    • (1993) Connection Science , vol.5 , Issue.3-4 , pp. 339-364
    • Mahoney, J.J.1    Mooney, R.J.2
  • 8
    • 0025490985 scopus 로고
    • Networks for approximation and leaming
    • T. Poggio and E Girosi. Networks for approximation and leaming. Proc. IEEE, 78(9):1481-1497,1990.
    • (1990) Proc. IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, E.2
  • 9
    • 0028529307 scopus 로고
    • Knowledge-based artificial neural networks
    • G. G. Towell and1 J. W. Shavlik. Knowledge-based artificial neural networks. Artcial Intelligence, 70: 119-165,1994.
    • (1994) Artcial Intelligence , vol.70 , pp. 119-165
    • Towell, G.G.1    Shavlik, W.J.2
  • 10
    • 0029748120 scopus 로고    scopus 로고
    • A sigmoidal radial basis function neural network for function approximation
    • Washington, D. C., June
    • J. R. Tsai, P. C. Chung, and C. I. Chang. A sigmoidal radial basis function neural network for function approximation. In Proc. IEEE Int. Con Neural Networks, pages 496-501, Washington, D. C., June 1996.
    • (1996) Proc. IEEE Int. Con Neural Networks , pp. 496-501
    • Tsai, J.R.1    Chung, P.C.2    Chang, C.I.3
  • 12
    • 0029322064 scopus 로고
    • Neural network modeling approach to circuit optimization and statistical design
    • A. H. Zaabab,Q. J. Zhang, andM. S. Nakhla. Neural network modeling approach to circuit optimization and statistical design. IEEE Trans. Microwave Theory Tech., 43:1349-1358, 1995.
    • (1995) IEEE Trans. Microwave Theory Tech. , vol.43 , pp. 1349-1358
    • Zaabab, A.H.1    Zhang, Q.J.2    Nakhla, A.S.3
  • 13
    • 0028554580 scopus 로고
    • Signal integrity analysis and optimization of VLSI interconnects using neural network models
    • London, England
    • Q. J. Zhang and M. S. Nakhla. Signal integrity analysis and optimization of VLSI interconnects using neural network models. In IEEE Int. Symp. Circuits Systems, pages 459-462, London, England, 1994.
    • (1994) IEEE Int. Symp. Circuits Systems , pp. 459-462
    • Zhang, Q.J.1    Nakhla, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.