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.
综上所述，两种改进的模糊神经网络都具有一定的理论价值和应用价值，值得进一步推广运用。
To summarize, two kinds of improved feedforward fuzzy neural networks have some values in theory and application and is worth further extending.
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.
离线预报表明：模糊神经网络预报金属塑性变形抗力有较高的精度。
Off-line forecast shows that fuzzy neural network has high precision in predicting metal plastic deformation resistance.
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.
研究表明这种方法构建的模糊神经网络具有更高的精度。
The research result shows that this fuzzy neural network constructed by this method has higher precision.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
This paper presents a fuzzy neural network approach to short term load forecasting.
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.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
The fuzzy neural network model for dynamic equation of the PMT is established.
本文介绍了一种基于模糊神经网络的智能型火灾报警系统。
This Paper discusses an intelligent fire alarm system based on fuzzy neural network.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
该系统具有神经网络的结构和学习算法，称模糊神经网络FNN。
This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.
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.
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.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
这样的网络构成了基于知识的模糊神经网络。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
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.
此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。
This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.
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 decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
讨论了模糊神经网络在织物风格评价中的应用。
The application of fuzzy neural network in fabric handle assessment is discussed.
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.
提出了一种基于混沌变量的多层模糊神经网络优化算法设计。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
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.
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.
提出了一种应用模糊神经网络进行故障诊断新方法。
A new approach of fault diagnosis using neuro-fuzzy network is proposed.
提出了一种应用模糊神经网络进行故障诊断新方法。
A new approach of fault diagnosis using neuro-fuzzy network is proposed.
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