However, the values of the parameters of the function are different from those derived using the classical Landau theory based on the mean field approximation.
但在聚合体存在的情形下，函数参数的数值不同于在均场近似下由经典朗道理论所得到的数值。
The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).
介绍了径向基函数网络的函数逼近原理和方法，提出了一种基于广义回归神经网络（GRNN）的传感器非线性误差校正方法。
The approximation operator for every kind of the objective function is different in approximation Theory.
在逼近问题中，对于不同的目标函数，采用的逼近算子也有所不同。
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