变惯性系数惯性对象是一类较难控制的对象，例如文中所述硅钼炉的温度控制问题，作者采用经验规则控制方法解决了这类对象的有效控制问题。

The inertial object with uncertain coefficient is a class of difficult object, in this paper, an method of control based on the experiment rule for the Si-Mo Furnace is developed.

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此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。

In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.

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