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。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
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。
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。
We put forward effective Structure diagrams of motor drive systems using Fuzzy Control, Expert Control and Neural Conrol.
分别给出了模糊控制、专家控制和神经控制用于电机拖动系统的行之有效的结构形式。
Genetic Algorithms, Neural Network and Fuzzy Control are important research fields in artificial intelligence.
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。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
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。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
本文采用模糊-神经网络解耦控制技术实现了对三容系统的解耦及液位控制。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
In this paper, the characteristics and advantages of neuro fuzzy intelligent control algorithm, which is an intersection of neural networks and fuzzy logic, are studied.
研究了将神经网络与模糊逻辑融合交叉而形成的神经网络-模糊智能控制算法的特点和优越性。
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。
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。
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 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。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
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。
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。
PID control, neural control and fuzzy control, but all of them have different limitations.
通常水下机器人的控制方式有PID控制器，神经网络控制器和模糊逻辑控制器三种。
Due to the traits of nonlinear, capacity of study, adaptivity and anti-interference, neural-fuzzy network is suitable for the control of ramp metering.
鉴于模糊神经网络具有良好的非线性特性、学习能力、自适应能力和抗干扰能力，本文将模糊神经网络技术引入到高速公路入口匝道控制中。
Due to the traits of nonlinear, capacity of study, adaptivity and anti-interference, neural-fuzzy network is suitable for the control of ramp metering.
鉴于模糊神经网络具有良好的非线性特性、学习能力、自适应能力和抗干扰能力，本文将模糊神经网络技术引入到高速公路入口匝道控制中。
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