Nonlinear regression and quadratic response surface models.
非线性回归和二次响应面模型。
The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.
通过线性回归和相似因子法比较人工神经网络和基于二元二项式的响应面法的预测能力。
Method: Response surface analysis was conducted for optimizing the main technical parameters with the content of total polyphenol as index, and received the regression model.
方法：以总多酚含量为指标，采用响应面法对主要工艺参数进行优化并得到回归模型。
On the complicated or implicit limit state functions in the reliability problems, a response surface method for reliability computation based on Support Vector Regression (SVR) is presented.
针对可靠度计算问题中极限状态函数比较复杂或为隐式的情况，提出了一种基于支持向量回归的响应面可靠度计算方法。
Based on the results of single-factor experiments, a quadratic regression model was established with the help of two factors central composite experimental design and the response surface method.
在单因素试验基础上，利用二因素中心组合设计原理及响应面法分析建立二次回归模型。
Based on the results of single-factor experiments, a quadratic regression model was established with the help of two factors central composite experimental design and the response surface method.
在单因素试验基础上，利用二因素中心组合设计原理及响应面法分析建立二次回归模型。
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