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    Building KBES for Diagnosing PC Pile with Inductive Learning 

    Source: Journal of Computing in Civil Engineering:;1992:;Volume ( 006 ):;issue: 002
    Author(s): Yi‐Cherng Yeh; Yau‐Hwaug Kuo; D. S. Hsu
    Publisher: American Society of Civil Engineers
    Abstract: The damage of a prestressed concrete pile (PCP) during the driving process has resulted in injuries, time delay, and cost overruns. Diagnosing the damage is one of the most important problems in foundation engineering. A ...
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    Building KBES for Diagnosing PC Pile with Artificial Neural Network 

    Source: Journal of Computing in Civil Engineering:;1993:;Volume ( 007 ):;issue: 001
    Author(s): Yi‐Cherng Yeh; Yau‐Hwaug Kuo; Deh‐Shiu Hsu
    Publisher: American Society of Civil Engineers
    Abstract: Diagnosis of damage of prestressed concrete piles during driving is an important problem in foundation engineering. An effort to build an expert system for the problem is described in this paper. To overcome the bottleneck ...
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    Closure to “Building KBES for Diagnosing PC Pile with Artificial Neural Network” by Yi‐Cherng Yeh, Yau‐Hwaug Kuo, and Deh‐Shiu Hsu (January 1993, Vol. 7, No. 1) 

    Source: Journal of Computing in Civil Engineering:;1994:;Volume ( 008 ):;issue: 004
    Author(s): Yi‐Cherng Yeh; Yau‐Hwaug Kuo; Deh‐Shiu Hsu
    Publisher: American Society of Civil Engineers
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    Expert System for Diagnosing Damage of Prestressed Concrete Pile 

    Source: Journal of Construction Engineering and Management:;1991:;Volume ( 117 ):;issue: 001
    Author(s): Yi‐Cherng Yeh; Deh‐Shiu Hsu; Yau‐Hwaug Kuo
    Publisher: American Society of Civil Engineers
    Abstract: The damage of prestressed concrete pile (PCP) during the installation process has resulted in injuries, time delay, and cost overruns. Diagnosis of the damage is one of the most important problems in foundation engineering. ...
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