1) secondary response
二次响应
1.
With regarded to the problem that the current system’s self-learning ability usually appears weak during service discovery,a novel Artificial Immune System(AIS) based service match model is proposed,which is based on the reference to the principles of cell’s mutation,evaluation and the secondary response abilities,as well as simulation on the antibody-antigen identification mechanism.
针对在当前服务发现系统的服务匹配过程中存在的系统自学习能力差的缺点,借鉴人工免疫系统中细胞变异、演化和二次响应等基本原理,通过模拟抗体-抗原识别机制来解决实际匹配问题,提出一种基于人工免疫系统的服务匹配模型。
2) 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。
3) 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。
4) 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。
5) Quadratic responding surface regression
二次响应面回归
6) the mechanism second response
二次响应机制
参考词条
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。