Presents a Fuzzy Neural Network Controller (FNNC) to multi capacity objects in flow control.
针对多容对象的流量控制，提出一种模糊神经网络控制器。
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。
The feasibility and the way of realizing the fuzzy neural network control algorithms using configuration software is re-searched.
研究了利用MCGS组态软件实现模糊神经网络控制算法的可行性和方法。
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。
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。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
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。
The force acted on the bucket has been analyzed and a way of resistance-reducing loading, which is achieved by the Fuzzy Neural Network Control, is proposed.
通过对装载机的铲装机理进行研究，提出减阻铲装的铲装策略，并且通过模糊神经网络控制方案实现。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
This paper proposes a kind of fuzzy neural network control system based on learning algorithm and multi-valued function which derives from the fusion of the fuzzy logic and neural net…
本文进行了模糊神经网络控制器的应用研究，经过仿真实验证明该控制器能够获得较理想的控制效果。
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。
Fuzzy neural network is an important research problem in the domain of intelligent control.
在智能控制领域中，模糊神经网络是一项重要的研究课题。
In the recent years, fuzzy neural network has become a new research hotspot of machine and aviation control field because of its special advantages.
近年来，模糊神经网络因为其在机械、航天控制领域里的独特优势而成为该领域一个新的研究热点。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
采用模糊神经网络结合常规PD控制器的方法来进行机器人的运动控制，提出了提取模糊规则的方法。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
On the basis of introducing conception and approach of Genetic Algorithms, the article analyzes the use of Genetic Algorithms in Neural network and Fuzzy Control.
文章在介绍遗传算法的概念、实现方法的基础上，分析了遗传算法在神经网络及模糊控制中的应用。
Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.
仿真结果表明，该方案可以实现模糊控制和神经网络的优势互补，对不确定非线性系统具有很好的控制效果。
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。
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。
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 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。
A fuzzy neural network integral sliding mode control approach was proposed.
提出了一种基于模糊神经网络的积分滑模控制算法。
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。
Fuzzy neural network is adopted to control the motion of rectifying mechanical device.
模糊神经网络用于控制纠偏机构的运动。
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。
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。
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