的残差平方和 Residual Sum of Squares 称为残差平方和 Residual Sum of Squares 预测残差平方和 PRESS ; Predicted ResidualSS ; predicted residual sum of squares .
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反问题的求解常常需要转化为非线性优化问题，其目标函数定义为观测数据与模型数据之间的残差平方和。
The solution of inverse problem usually requires nonlinear optimization of an objective function describing the difference between measured and simulated data.
通过设计一个平方和函数，使蜡沉积速率的计算值与实测值的残差平方和为最小的优化数学模型成为一个无约束的非线性规划问题。
The paper designs a sum of square function, which is an optimization mathematical model that makes the residual sum of squares of wax deposition rate between the calculated and the measured minimum.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
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