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    Application of Artificial Neural Network Methodology for Predicting Seismic Retrofit Construction Costs 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 002
    Author(s): R. Jafarzadeh; J. M. Ingham; S. Wilkinson; V. González; A. A. Aghakouchak
    Publisher: American Society of Civil Engineers
    Abstract: Following an extensive literature review, it was established that professional subjective judgment and regression analysis were the two main techniques utilized for predicting the seismic retrofit construction cost. The ...
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    Predicting Seismic Retrofit Construction Cost for Buildings with Framed Structures Using Multilinear Regression Analysis 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 003
    Author(s): R. Jafarzadeh; S. Wilkinson; V. González; J. M. Ingham; G. Ghodrati Amiri
    Publisher: American Society of Civil Engineers
    Abstract: Attempts to predict construction cost represent a problem of continual concern and interest to both practitioners and researchers. Such an attempt is presented here for the specific challenge of cost prediction when ...
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    Using Statistical Regression Analysis to Establish Construction Cost Models for Seismic Retrofit of Confined Masonry Buildings 

    Source: Journal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 005
    Author(s): R. Jafarzadeh; J. M. Ingham; K. Q. Walsh; N. Hassani; G. R. Ghodrati Amiri
    Publisher: American Society of Civil Engineers
    Abstract: The presented research deals with the development of statistical models for predicting seismic retrofit net construction cost (RNCC) of confined masonry (CM) buildings. Real data from 183 CM school buildings in Iran were ...
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