我们不仅在方程中加了一个拟合因子，而且在逼近第二个初始条件时也加了拟合因子。
We not only take a fitting factor in the equation, but also put one in the approximation of second initial condition.
利用神经网络拟合发动机飞行条件、状态与控制器参数之间的关系，验证了控制器在全飞行包线内的性能。
Using neutral networks, the relationship between engine flight conditions, states and the parameters of controller are fitted, and the controller characteristics in full flight envelope are verified.
很好地给出了应用拟合准则的条件。
The conditions of using fitting criterion were given as well.
应用推荐