通过具体算例，将非线性最小二乘法和遗传算法的结果，分别进行了比较。
The result of non-linear least square method is compared with that of the genetic arithmetical method in the concrete examples.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
模型的直接参数通过实测数据获得，隐含参数利用非线性最小二乘法拟合反求获得。
Direct parameters were attained from the measurement data, and hidden parameters of the model were calibrated using the generalized least squares method.
模型的直接参数通过实测数据获得，隐含参数利用非线性最小二乘法拟合反求获得。
Direct parameters were attained from the measurement data, and hidden parameters of the model were calibrated using the generalized least squares method.
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