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。
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。
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。
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。
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。
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。
People have studied the combination of fuzzy logic and neural network. For many years, and achieved good results, especially in the hand of industry process modeling and control.
多年来，人们一直致力于模糊逻辑和神经网络结合方面的研究，并且收到了很好的效果，尤其在工业过程建模和控制方面。
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。
In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
Intelligence arc furnace, which makes use of neural network model and numerical model, combines expert system and fuzzy technology, can control the metallurgical quality.
智能电弧炉是应用神经网络模型与数字模型、专家系统、模糊技术等结合起来控制冶金过程。
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。
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。
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。
The fuzzy logic and artificial neural network technologies are introduced into the algorithm for airbag deployment control, with a view to the appropriate and correct deployment of the airbag.
为解决汽车安全气囊适时、正确触发问题，将模糊逻辑与人工神经网络技术引入汽车安全气囊触发控制算法研究。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
When obtaining plenty data, self-adapt neural network fuzzy control system ANFIS come into being subjection degree function and fuzzy rule, namely come into being fuzzy controller.
当获得了足够的数据后，通过自适应神经网络模糊系统ANFIS来训练产生隶属度函数和模糊规则，即产生模糊控制器。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
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。
According to the nonlinear, uncertain and large scale characteristics of urban road network system, a novel distributed and cooperative control algorithm based on fuzzy neural network is designed.
针对城市路网交通系统规模大和非线性、不确定性强等特点，利用模糊神经网络设计了一种新的实时分散协调控制算法。
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。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
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.
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。
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