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    Modeling of Finned Tube Evaporator Using Neural Network and Response Surface Methodology 

    Source: Journal of Heat Transfer:;2016:;volume( 138 ):;issue: 005:;page 51502
    Author(s): Li, Ze; Shao, Liang; Zhang, Chun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A new response surface methodology (RSM) based neural network (NN) modeling method is proposed for finnedtube evaporator performance evaluation under dry and wet conditions. Two RSM designs, Box–Behnken design (BBD) and ...
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    Upper-Bound Analysis for Stone Retaining Wall Slope Based on Mixed Numerical Discretization 

    Source: International Journal of Geomechanics:;2018:;Volume ( 018 ):;issue: 010
    Author(s): Li Ze;Zhou Yu;Guo Yakun
    Publisher: American Society of Civil Engineers
    Abstract: The ultimate bearing capacity of masonry retaining wall slope is studied by combining the upper-bound theorem, the mixed numerical discretization, and the linear programming. First, the soil mass is discretized by triangular ...
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    Application of Support Vector Machine-Based Classification Extremum Method in Flexible Mechanism 

    Source: Journal of Mechanisms and Robotics:;2020:;volume( 012 ):;issue: 004
    Author(s): Bai, Bin; Li, Ze; Zhang, Junyi; Zhang, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The computational efficiencies of traditional reliability methods, such as Monte Carlo (MC), are extremely low. There are also some shortcomings for surrogate model (SM)-based methods, e.g., the sample points of the quadratic ...
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