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Neural networks / Computational neuroscience / Statistical classification / Linear discriminant analysis / Artificial neural network / Logistic regression / Pipe / Stormwater / Sanitary sewer / Statistics / Water pollution / Computational statistics


Document Date: 2011-09-09 06:20:29

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City

Osman / Greater Dandenong / New York / Australian / Chang / Victoria / Highett / Melbourne / /

Company

Neural Networks / Assaly A.E. / John Wiley & Sons / D.H. and Krezel S.A. / /

Country

Canada / Australia / United Kingdom / /

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Facility

Victoria University / /

IndustryTerm

gravity systems / soft computing techniques / pipe distribution network / infrastructure management / oil and gas pipelines / construction technology acceptability / stormwater pipe systems / sewer systems / software package / pipe network / genetic algorithm / last pipe network / stormwater systems / concrete stormwater pipe networks / little chemical waste / /

MusicGroup

D.H. / D. H. / /

OperatingSystem

Xp / /

Organization

Victoria University / School of Architectural / National Research Council Canada / School of Architectural / Civil and Mechanical Engineering / Department of Civil Engineering / Water Services Association of Australia / /

Person

Van Nostrand Reinhold / Vanier / Rajani / John Wiley / /

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Position

*Corresponding author / Neural network model for asphalt concrete permeability / D.J. / Markov model for storm water pipe deterioration / Fisher / representative / /

Product

Pentax K-x Digital Camera / /

ProvinceOrState

New Jersey / A.B. / S.K. / Capital Territory / New York / Victoria / New South Wales / Florida / Ontario / /

Region

South Wales / /

Technology

wastewater treatment / Condition Assessment Protocols / genetic algorithm / html / pdf / neural network / fuzzy logic / simulation / grading protocol / /

URL

http /

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