A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
This paper use fuzzy neural network and hierarchy control method to solve the problem of traffic control for the trunk roads.
在城市交通干线协调控制方面，本文提出了利用模糊神经网络分层递阶控制的方法。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
So we attempt to improve furtherly auto-control level of copper continuous extrusion production by fuzzy neural network control technology.
因此尝试采用模糊神经网络控制技术来进一步提高铜连续挤压生产的自动控制水平。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
The fuzzy neural network and hierarchy control is used to solve the problem of traffic control for the trunk roads.
针对城市交通干线协调控制的要求，提出了利用模糊神经网络分层递阶控制的方法。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
The paper USES DSP system board designed by ourselves. Its main task is data process real-time control and expert Fuzzy neural network control scheme.
采用了自行设计的DSP系统板，它主要完成数据处理及实时控制以及专家模糊神经网络的控制方案。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
The advantages of this adaptive fuzzy control method compared to other nonlinear control method (artificial neural network control) are analyzed.
分析了该方法与其它非线性控制方法(神经网络控制)相比所具有的优点。
The controllable pitch propeller control system based on fuzzy and neural network control is proposed, the result shows that the system design is feasible and effective.
在此基础上提出了基于模糊神经网络控制的调距桨控制系统的设计，仿真试验结果表明了调距桨控制系统设计的合理性。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
It is aimed to make the Fuzzy Neural Network control research on the loading of the intelligent loader based on CAN-BUS control system.
本研究课题就是以CAN总线系统硬件平台为基础，重点针对智能装载机铲装过程进行模糊神经网络控制研究。
Combining neural network technology with fuzzy control technology, taking the closed loop control method, the system can control the delivery of the material flow automatically.
该系统将人工智能中的神经网络控制技术和模糊控制技术结合，采用闭环控制方式，实现对带式输送机物料流量的智能自动控制。
It is verified by a real controlling that a fair control result can be achieved with fuzzy neural network control.
经实际控制证明，模糊神经网络控制可以得到良好的控制效果。
Finally, by taking use of fuzzy control and neural network, it establishes a quality cost control model to facilitate automatic quality cost.
最后，利用模糊控制方法以及神经网络建立质量成本控制模型。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
This paper mainly focused on the problem of fuzzy neural network control of non-linear system and got into further study and then a self-adaptation control system of fuzzy neural network was designed.
本文围绕非线性系统的模糊神经网络控制问题，展开研究，设计了一个自适应模糊神经网络控制系统。
With the dynamic model of flexible manipulator, PD control, fuzzy PD control and neural-network control are studied.
系统控制方面，针对柔性臂的动力学模型，分别进行了PD控制、模糊pd控制和神经网络控制方案的研究。
This paper presents concretely the applications of fuzzy control, neural network control and neural-fuzzy control in DC-DC converters.
本文具体介绍了模糊控制、神经网络控制和神经模糊控制在DC - DC变换器中的应用。
Engine idling control methods are discussed. Control methods applying fuzzy control and BP neural network control are studied deeply.
讨论了发动机怠速控制方法，对用模糊控制、BP神经网络控制方法进行了深入研究。
This thesis propose an adaptive fuzzy control method based on BP neural network decoupling for typical thermodynamic processes and study the control system.
本文将针对这一热工过程，提出基于BP神经网络解耦的自适应模糊控制方法。
Simulation experiment compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control is presented.
并与国内外研究较多的无刷直流电机的基于自适应PID、模糊控制、神经网络控制、PID控制的双闭环控制系统进行仿真对比实验。
Due to the temperature object is delay, the control result is not very satisfactory for the control results of traditional PID, fuzzy control, or neural network control.
由于该温度对象具有滞后特性，采用传统的PID控制、模糊控制或神经网络控制等单一的控制策略效果并不十分理想。
A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays.
一类多时滞不确定非线性系统，基于模型的模糊控制和神经网络控制相结合的混合控制方法。
A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays.
一类多时滞不确定非线性系统，基于模型的模糊控制和神经网络控制相结合的混合控制方法。
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