YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-7 of 7

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Anh-Duc Pham; Nhat-Duc Hoang; Quang-Trung Nguyen
    Publisher: American Society of Civil Engineers
    Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
    Request PDF

    Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Jui-Sheng Chou; Ngoc-Tri Ngo; Anh-Duc Pham
    Publisher: American Society of Civil Engineers
    Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
    Request PDF

    Closure to “Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression” by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Jui-Sheng Chou; Ngoc-Tri Ngo; Anh-Duc Pham
    Publisher: American Society of Civil Engineers
    Request PDF

    Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Jui-Sheng Chou; Ngoc-Tri Ngo; Anh-Duc Pham
    Publisher: American Society of Civil Engineers
    Abstract: The shear strength of reinforced concrete (RC) deep beams is a dynamic phenomenon that varies with many mechanical and geometrical factors. Accurately estimating shear strength in RC deep beams is a vital issue in engineering ...
    Request PDF

    Erratum for “Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression” by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 001
    Author(s): Jui-Sheng Chou; Ngoc-Tri Ngo; Anh-Duc Pham
    Publisher: American Society of Civil Engineers
    Request PDF

    Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Anh-Duc Pham; Nhat-Duc Hoang; Quang-Trung Nguyen
    Publisher: American Society of Civil Engineers
    Abstract: This research establishes a novel model for predicting high-performance concrete (HPC) compressive strength, which hybridizes the firefly algorithm (FA) and the least squares support vector regression (LS-SVR). The LS-SVR ...
    Request PDF

    Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success 

    Source: Journal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 011
    Author(s): Jui-Sheng Chou; Nelly Irawan; Anh-Duc Pham
    Publisher: American Society of Civil Engineers
    Abstract: This multinational study of the contribution of the Project Management Body of Knowledge (PMBOK) to the success of construction engineering projects was performed to reveal cross-country similarities and differences. A ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian