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1)  PID neural network
PID神经元网络
1.
Strip flatness and gauge multivariable complex control at cold tandem millbased on PID neural network;
基于PID神经元网络的冷连轧板形板厚多变量综合控制
2.
The application of the multivariable PID neural network control system in the collector pressure system of coke oven
多变量PID神经元网络控制系统在集气管压力系统中的应用
3.
Congestion control algorithm based on PID neural network and internal model control
基于PID神经元网络和内模控制的拥塞控制算法
2)  PID neural network
PID 神经元网络
1.
This paper studies and describes PID neural network and its application in image processing,such as im- age noise reducing,image restoration and image shadow removal.
研究并综述了 PID 神经元网络及其在图像处理中的应用,如图像去噪、图像复原、阴影去除等。
3)  single neural network PID
单神经元网络PID
1.
Finally, this paper presents an improved model of the magnetic chain, using a single neural network PID controller to adjust the stator flux, and set up the corresponding flux estimation model.
最后本论文提出了一种改进的磁链模型,引入了单神经元网络PID控制器来调节定子磁链,并建立了相应的磁链模型。
4)  PID neural network
PID神经网络
1.
Research on welding process controller based on PID neural network;
基于PID神经网络的弧焊电源控制器的研究
2.
Nonlinear control system of PID neural network based on cooperated particle swarm optimization(PSO)
基于合作粒子群算法的PID神经网络非线性控制系统
3.
A PID neural network was designed for electro-hydraulic bending control system.
针对电液弯辊伺服控制系统,设计了PID神经网络控制器。
5)  neural network PID
神经网络PID
1.
Neural Network PID Control System of Luminance;
神经网络PID算法在光照度控制系统中的应用
2.
Control system of hydraulic powered support on coal-plough face based on neural network PID
基于神经网络PID的刨煤机工作面液压支架控制系统
3.
The difficulties in boiler control are studied, a method to establish the temperature of supply-water is given, and a kind of neural network PID control with predictive model is put forward, whic.
研究了链条式锅炉存在的控制难点,给出了一种锅炉供水温度的设定方法,提出了适用于时滞、非线性系统的带预测模型的神经网络PID控制,并将其应用在锅炉燃烧系统中,保证热水锅炉的安全经济运行。
6)  PID neural networks
PID神经网络
1.
Research of PID neural networks decoupling control of marine nuclear power plant;
船用核动力装置二回路PID神经网络解耦控制研究
2.
A kind of adaptive inverse control approach using PID neural networks for the interceptor attitude uncertain system was proposed in this paper.
现针对动能拦截器模型的非线性和不确定性,提出PID神经网络自适应逆控制方法对拦截器飞行姿态进行控制。
3.
Aiming at the large time-delay controlled object in the industrial process,a kind of PID neural networks controller is presented,which can make use of the learning of BP neural network for self-tuning,make the PID parameter come to the best nonlinear combination,enhance robustness of the control system greatly.
针对大时滞及过程不确定的工业过程对象,提出一种PID神经网络控制方法,利用BP网络自整定学习,使PID参数实现最佳的非线性组合,克服了常规PID算法不适应大时滞及过程不确定系统的缺陷,大大提高了控制系统的鲁棒性。
补充资料:神经元形态中枢神经系统内轴突髓鞘的形成示意图




神经元形态  中枢神经系统内轴突髓鞘的形成示意图
                                       李瑞端绘
  [图]图

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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