...总 我们希望优化模块（Command Center）生成预 估的之前定义过的所有输出变量（Output Variables）的响应面（response surfaces），该 响应面是输入变量的函数（ Input Variables）。
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Eventually, the response surfaces composed of the CD main influence factor H1, H2 and limit drawing depth are established by the combination of GA-BP neural network and Latin Hypercube.
最后通过GA - BP神经网络与拉丁超立方抽样法相结合构建了可控拉深筋主要影响因子h1和H2与极限拉深深度之间的响应面。
Then the response surface method(RSM) is utilized to establish the response surfaces or curve of SEA vs. material parameters and the curves of relative error in high-order polynomial fitting.
采用响应面法建立了表示比吸能随材料参数而变化的曲面，和高次多项式拟合时的相对误差曲线。
In order to improve the efficiency and accuracy of the numerical calculation for the aerodynamic design of winglets, an optimization method based on multi-level response surfaces is proposed.
为了提高数值计算效率和准确性，提出了基于多级响应面法的确定翼梢小翼气动外形参数的一种优化方法。
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