提出一种对水轮发电机组水压频率进行综合调节的记忆递归网络灵敏度预测控制器。
A sensitivity predictive controller with memory recurrent network for use in the comprehensive control of the water hammer and the frequency is proposed.
利用对角递归神经网络在线自适应调整PID控制器的参数，从而使系统的静态和动态性能指标较为理想。
DRNN is used to adjust the parameters of PID control on-line, accordingly it can make static and dynamic performance index comparatively ideal.
基于人工神经网络提出了一种局部递归神经网络控制器。
A locally recurrent neural network controller based on neural network is proposed.
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