一个神经网络控制系统能学习预测电极位置和炉子工作稳定性之间关系。
A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.
本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
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.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
该MNN网络能用于在线学习对象的动态特性，从而提供一种能提高整个控制系统性能的自适应控制实现策略。
The MNN can be used for on -line learning of the plant's dynamic characteristics and provide a kind of adaptive control strategy which can improve the whole control system's performance.
全文的最后展望了网络控制系统理论的发展前景以及作者在以后的工作中需要学习和努力的方向。
Finally, the development of networked control systems theory and what it is to study for the author in the future is prospected.
本文有针对性地对人工神经网络的各种网络模型及学习算法进行了研究，提出一了种基于人工神经网络的电厂主汽温控制系统。
This thesis researched the models and the learning algorithm of neural network, raised a main steam control system of power station based on neural network.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
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