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Application of artificial neural network models in occupational safety and health utilizing ordinal variables.

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Title: Application of artificial neural network models in occupational safety and health utilizing ordinal variables.
Authors: Moayed FA; Department of the Built Environment, College of Technology, Indiana State University, Terre Haute, IN 47809, USA. farman.moayed@indstate.edu, Shell RL
Source: The Annals of occupational hygiene [Ann Occup Hyg] 2011 Mar; Vol. 55 (2), pp. 132-42. Date of Electronic Publication: 2010 Dec 27.
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0203526 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1475-3162 (Electronic) Linking ISSN: 00034878 NLM ISO Abbreviation: Ann Occup Hyg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0203526 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-3162 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200034878%22">00034878 </searchLink><i>NLM ISO Abbreviation: </i>Ann Occup Hyg <i>Subsets: </i>MEDLINE
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        Value: 10.1093/annhyg/meq079
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      – Code: eng
        Text: English
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        StartPage: 132
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      – TitleFull: Application of artificial neural network models in occupational safety and health utilizing ordinal variables.
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            NameFull: Moayed FA
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            NameFull: Shell RL
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              Text: 2011 Mar
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              Y: 2011
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              Value: 55
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              Value: 2
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            – TitleFull: The Annals of occupational hygiene
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