针对多容对象的流量控制，提出一种模糊神经网络控制器。
Presents a Fuzzy Neural Network Controller (FNNC) to multi capacity objects in flow 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。
It is verified by a real controlling that a fair control result can be achieved with fuzzy neural network control.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
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。
The feasibility and the way of realizing the fuzzy neural network control algorithms using configuration software is re-searched.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
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。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
文中在分析了无毒提金工艺过程特性的基础上，提出了模糊神经网络控制的算法。
Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
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。
So we attempt to improve furtherly auto-control level of copper continuous extrusion production by fuzzy neural network control technology.
将上述方法用于实际脉冲TIG焊过程控制，结果表明模糊神经网络控制方案有效。
The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.
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。
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.
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。
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。
It is aimed to make the Fuzzy Neural Network control research on the loading of the intelligent loader based on CAN-BUS control system.
仿真结果表明，所设计的模糊神经网络控制器能有效地减少单交叉口平均车辆延误，具有较强的学习和泛化能力。
Results of simulation show that the fuzzy neural controller can not only decrease the average vehicle delay but also possesses excellent abilities of learning and generalization.
对电机助力特性控制进行了研究，采用模糊神经网络控制方法确定电机的目标电流，并利用PID控制跟踪目标电流。
This paper has researched motor power characteristic, adopted Fuzzy Neuro Network controller (FNN) to confirm target current and utilized PID controller to tail after target current.
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.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
在综述了现有的各种悬架控制方法基础上，着重论述了模糊控制、神经网络控制、模糊神经网络控制等方法在车辆悬架控制系统中的应用。
On the basis of summing up existing methods for vibration control on the suspension systems, emphases are put on the discussion of application of fuzzy control, neural n...
在综述了现有的各种悬架控制方法基础上，着重论述了模糊控制、神经网络控制、模糊神经网络控制等方法在车辆悬架控制系统中的应用。
On the basis of summing up existing methods for vibration control on the suspension systems, emphases are put on the discussion of application of fuzzy control, neural network control…
在此基础上，结合列车运行安全控制的实际情况，加入直控神经元，构造了直控模糊神经网络控制（ZFNN）模型来保证控制系统符合故障-安全原则。
On the basis of, some direct-control neurons are added to the FNN, and then a new FNN model is produced which is named as ZFNN.
在智能控制领域中，模糊神经网络是一项重要的研究课题。
Fuzzy neural network is an important research problem in the domain of intelligent control.
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。
In the recent years, fuzzy neural network has become a new research hotspot of machine and aviation control field because of its special advantages.
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。
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.
根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
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。
Fuzzy Neural Network combined with conventional PD controller is used for the kinematics control and a fuzzy rule extraction method is put forward.
模糊神经网络用于控制纠偏机构的运动。
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。
Fuzzy neural network is adopted to control the motion of rectifying mechanical device.
应用推荐