1) polynomial response surface
多项式响应面
1.
By considering the robustness of objective functions and constraint functions the relationship between quality characteristics and uncertain factors can be determined by polynomial response surface method;if polynomial response surface method is not precise enough then artificial.
该方法首先利用多项式响应面以及神经网络构造产品质量特性的显性表达式。
2.
Four types of surrogate models including polynomial response surface,Kriging,BP neural network(BPNN) and radial bases function neural .
比较了多项式响应面、Kriging模型、BP神经网络和径向基神经网络的运用效果。
2) Polynomial Response Surface method
多项式响应面模型
3) polynomial_based filter
多项式冲激响应滤波器
1.
And the Farrow structure and transposed Farrow structure is got out through the formula of the output of polynomial_based filter.
首先对软件无线电中的信号重采样原理进行分析,然后对基于多项式冲激响应滤波器的输出进行推导,由此导出Farrow结构滤波器和转置Farrow结构滤波器的结构图。
4) polynomial-based filters
多项式脉冲响应滤波器
5) multiple response surface method
多响应面法
1.
Based on accuracy analysis of single response surface method, an update method, multiple response surface method, is proposed.
在分析单响应面法精度的影响因素基础上 ,提出了改进的多响应面法 。
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。