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    Design of Nonlinear Framed Structures Using Genetic Optimization 

    Source: Journal of Structural Engineering:;2000:;Volume ( 126 ):;issue: 003
    Author(s): S. Pezeshk; C. V. Camp; D. Chen
    Publisher: American Society of Civil Engineers
    Abstract: In this paper we present a genetic algorithm (GA)-based optimization procedure for the design of 2D, geometrical, nonlinear steel-framed structures. The approach presented uses GAs as a tool to achieve discrete nonlinear ...
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    Geophysical Log Interpretation Using Neural Network 

    Source: Journal of Computing in Civil Engineering:;1996:;Volume ( 010 ):;issue: 002
    Author(s): S. Pezeshk; C. V. Camp; S. Karprapu
    Publisher: American Society of Civil Engineers
    Abstract: Timely and effective interpretation of bore hole geophysical and formation well logs is vital in developing basic geological and hydrological data for ground water modeling. Information on local geological conditions may ...
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