1) square response surface
二次响应面
1.
The paper presents an algorithm combining square response surface and Radial Basis Function Neural Network(RBFNN) to solve the problem that RBFNN is often difficult to meet the precision request of approximation model.
用径向基神经网络方法构造近似模型常常难以满足精度要求,提出了一种把二次响应面与径向基神经网络相结合的算法。
2.
Based on the FE results,the experimental design was applied for these panels and the dimensions sensitivity was computed by using the square response surface model.
在有限元模型验证的基础上,对该构型的壁板进行了试验设计,建立了二次响应面模型,并对壁板截面尺寸进行了敏感度计算。
2) response surface modeling
二次响应面分析
1.
The response surface modeling to the Nb of SDS was done, which revealed that the Nb of SDS took approximately the linear increase function.
对SDS的Nb数据进行二次响应面分析,得知SDS的Nb是c的线性增大函数、ce的对数函数以及cp的反比例函数,据此对SDS的Nb实验值建立含二次交互作用项的函数表达式。
3) square response surface method
二次响应面方法
1.
The paper investigates square response surface method,Radial Basis Function Neural Network method,Kriging method and Augmented radial basis functions method.
首先介绍了近似方法中的二次响应面方法、径向基神经网络方法、Kriging方法和增强的径向基函数方法。
4) Quadratic responding surface regression
二次响应面回归
5) sub-response surface
次响应面
1.
The major response surface and some sub-response surfaces are adopted in the method.
该方法用主响应面和多个次响应面近似对失效概率贡献较大的区域,其响应面函数形式为不含交叉的二次多项式。
6) Quadratic response surface regression model
二次响应面回归模型
补充资料：输出反馈(见线性二次型次优控制)
输出反馈(见线性二次型次优控制)
output feedback
3h日c卜口fon以以{输出反馈型次优控制。(output王eedbaek)见线性二次
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条