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.
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