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.
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.
设计了一种基于RBF网络和遗传优化的船舶操纵模糊控制器。
A fuzzy controller for ship steering based on RBF networks and genetic algorithms is designed.
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.
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.
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.
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。
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.
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.
仿真实验表明，该算法可实现模糊控制和神经网络的优势互补，对非线性复杂系统具有良好的控制性能。
Experiment results show that the algorithm can obtain the advantages of the fuzzy system and the neural network can have better performance in controlling the nonlinear and complex system.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
并举例说明了非线性控制理论、神经元网络控制理论、模糊控制理论在直接转矩控制技术中的应用。
For example, the non-linearity theory, nerve network control theory, fuzzy control theory are applied in the direct torque control theory.
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。
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.
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.
这种方法把模糊控制和神经网络相结合进行控制系统的建模。
This way combines fuzzy control with neural networks to build the model of control system.
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。
This paper use fuzzy neural network and hierarchy control method to solve the problem of traffic control for the trunk roads.
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.
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。
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.
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.
新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。
The parameters of new controller can be adjusted on line based on the ability of fuzzy ne ural 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。
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.
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 paper USES DSP system board designed by ourselves. Its main task is data process real-time control and expert Fuzzy neural network control scheme.
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。
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。
The fuzzy neural network and hierarchy control is used to solve the problem of traffic control for the trunk roads.
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