近年来，基于神经网络和模糊逻辑的神经模糊控制得到了广泛的应用。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
对ANFIS训练及检验的结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。
By training and checking of ANFIS, the results prove that the adaptive neuro-fuzzy controller owns high precision and good effect of controlling.
通过对ANFIS的训练及检验，结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。
By training and checking of ANFIS, the results prove that the adaptive neuro-fuzzy controller has high precision and good effect of controlling.
本文还详细介绍了一种用多层前向神经网络实现模糊逻辑的自适应神经网络模糊推理系统——ANFIS，并用它来分析、验证神经模糊控制的控制效果。
This paper also stated the method of Adaptive Neural-Fuzzy Inference System (ANFIS) in details, which was used to analysis and testify effect of the NN-FC.
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.
本文提出了一种基于模糊神经变结构控制的交流伺服系统。
This paper presents an AC servo system based on fuzzy neural variable structure control.
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.
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.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
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.
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.
遗传算法、神经网络与模糊控制是当前人工智能中的主要研究领域。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
针对具有严重非线性的受控对象，提出了一种模糊-神经元控制方法。
In accordance with the seriously nonlinear controlled objects, a fuzzy-neuron control scheme is proposed.
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.
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.
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.
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.
本文对神经元算法和模糊控制算法在实际中的应用作了探讨。
Have probed into the neuron algorithm and controls the application in reality of algorithm fuzzily in this thesis.
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.
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.
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.
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