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Volumn 3, Issue , 2004, Pages 2599-2604

A comparative study on prediction of human operator violation using neural networks

Author keywords

Artificial Neural Networks; Barrier Removal; Human factors; Human reliability; Human machine system; Prediction; Uncertainty; Violation

Indexed keywords

ACCIDENT PREVENTION; HUMAN COMPUTER INTERACTION; NEURAL NETWORKS; PREDICTIVE CONTROL SYSTEMS; PROJECT MANAGEMENT; RISK ASSESSMENT; UNCERTAIN SYSTEMS;

EID: 15744377909     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • J. Reason, A system approach to organizational error, Ergonomics, vol 38, No.8, pp. 1708-1721, 1995.
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    • Reason, J.1
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    • A method integrating self-organizing maps to predict the probability of barrier removal
    • Chapitre 30 in H. Bozdogan (ed.), CRC Press, New York, July
    • Z. Zhang, F. Vanderhaegen, A method integrating Self-Organizing Maps to predict the probability of Barrier Removal, Chapitre 30 in H. Bozdogan (ed.), "Statistical Data Mining and Knowledge Discovery", CRC Press, New York, July 2003. pp.499-513. Selected and extended paper of the C. Warren Neel Conference on the New Frontiers of Statistical Data Mining and Knowledge Discovery, June 22-25, 2002, Knoxville, Tennessee, USA.
    • (2003) Statistical Data Mining and Knowledge Discovery , pp. 499-513
    • Zhang, Z.1    Vanderhaegen, F.2
  • 10
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    • Selected and extended paper of the June 22-25, Knoxville, Tennessee, USA
    • Z. Zhang, F. Vanderhaegen, A method integrating Self-Organizing Maps to predict the probability of Barrier Removal, Chapitre 30 in H. Bozdogan (ed.), "Statistical Data Mining and Knowledge Discovery", CRC Press, New York, July 2003. pp.499-513. Selected and extended paper of the C. Warren Neel Conference on the New Frontiers of Statistical Data Mining and Knowledge Discovery, June 22-25, 2002, Knoxville, Tennessee, USA.
    • (2002) C. Warren Neel Conference on the New Frontiers of Statistical Data Mining and Knowledge Discovery


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.