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Volumn , Issue , 2008, Pages 3925-3931

Learning defect classifiers for visual inspection images by neuro-evolution using weakly labelled training data

Author keywords

[No Author keywords available]

Indexed keywords

HIGHWAY BRIDGES; IMAGE ENHANCEMENT; NEURAL NETWORKS; REINFORCEMENT; REINFORCEMENT LEARNING; VISUAL COMMUNICATION; WAVE FILTERS;

EID: 55749106360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4631331     Document Type: Conference Paper
Times cited : (21)

References (14)
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    • Yao, X.1
  • 2
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    • A new evolutionary system for evolving artificial neural networks
    • May
    • X. Yao and Y. Liu, "A new evolutionary system for evolving artificial neural networks." IEEE Transactions on Neural Networks, vol. 8, no. 3, pp. 694-713, May 1997.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 694-713
    • Yao, X.1    Liu, Y.2
  • 3
  • 4
    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • K. O. Stanley and R. Miikkulainen, "Evolving neural networks through augmenting topologies," Evolutionary Computation, vol. 10, no. 2, pp. 99-127, 2002.
    • (2002) Evolutionary Computation , vol.10 , Issue.2 , pp. 99-127
    • Stanley, K.O.1    Miikkulainen, R.2
  • 6
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • May
    • S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, May 1983.
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 8
    • 40249111964 scopus 로고    scopus 로고
    • N. T. Siebel and Y. Kassahun, Learning neural networks for visual servoing using evolutionary methods, in Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS'06), Auckland, New Zealand, December 2006, p. 6 (4 pages).
    • N. T. Siebel and Y. Kassahun, "Learning neural networks for visual servoing using evolutionary methods," in Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS'06), Auckland, New Zealand, December 2006, p. 6 (4 pages).
  • 9
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized selfadaptation in evolution strategies
    • N. Hansen and A. Ostenneier, "Completely derandomized selfadaptation in evolution strategies," Evolutionary Computation, vol. 9, no. 2, pp. 159-195, 2001.
    • (2001) Evolutionary Computation , vol.9 , Issue.2 , pp. 159-195
    • Hansen, N.1    Ostenneier, A.2
  • 10
    • 55749091103 scopus 로고    scopus 로고
    • Evolutionary reinforcement learning of artificial neural networks
    • October
    • N. T. Siebel and G. Sommer, "Evolutionary reinforcement learning of artificial neural networks," International Journal of Hybrid Intelligent Systems, vol. 4, no. 3, pp. 171-183, October 2007.
    • (2007) International Journal of Hybrid Intelligent Systems , vol.4 , Issue.3 , pp. 171-183
    • Siebel, N.T.1    Sommer, G.2
  • 14
    • 0345438685 scopus 로고    scopus 로고
    • ROC graphs: Notes and practical considerations for data mining researchers; HP Labs
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    • T. Fawcett, "ROC graphs: Notes and practical considerations for data mining researchers;" HP Labs, Technical Report HPL-2003-4, 2003.
    • (2003)
    • Fawcett, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.