To correct the power factor, the controlling effect of both neural network controller (NNC) and current mode controller (CMC) is researched in this paper.
为改善功率因数，对神经网络控制器(NNC)与电流模式控制器(CMC)的控制效果进行了仿真比较研究。
Applying neural network to predict structural response may solve the problem of time lag in active control and offer basis for controlling decision.
应用神经网络预测结构响应可以解决主动控制中的时滞问题，为控制决策提供依据。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
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