The thesis constructs a kind of new fuzzy-neural network.
提出了一类新的模糊神经网络结构。
Fuzzy neural network is an important research problem in the domain of intelligent control.
在智能控制领域中，模糊神经网络是一项重要的研究课题。
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。
To summarize, two kinds of improved feedforward fuzzy neural networks have some values in theory and application and is worth further extending.
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。
This paper presents an AC servo system based on fuzzy neural variable structure control.
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。
The application of fuzzy neural technology in nuclear power stations has been introduced.
简要介绍了模糊神经技术及其在国外核电站上的应用。
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.
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。
The research result shows that this fuzzy neural network constructed by this method has higher precision.
研究表明这种方法构建的模糊神经网络具有更高的精度。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
Fuzzy neural technology is a kind of newly developed intelligent technology. It has been adopted successfully in nuclear power stations abroad.
在国外核电站中应用成功的模糊神经技术是一种新兴的智能技术。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
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。
The fuzzy neural network model for dynamic equation of the PMT is established.
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。
This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.
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 Paper discusses an intelligent fire alarm system based on fuzzy neural network.
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。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
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。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
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。
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.
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)。
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。
Off-line forecast shows that fuzzy neural network has high precision in predicting metal plastic deformation resistance.
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。
Fuzzy neural networks technology application is a new approach in the arena of the analog fault diagnosis.
在故障诊断领域，模糊神经网络技术的应用代表着一个新的研究方向。
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.
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。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
这样的网络构成了基于知识的模糊神经网络。
The application of fuzzy neural network in fabric handle assessment is discussed.
讨论了模糊神经网络在织物风格评价中的应用。
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。
Such fuzzy neural network controller is applied to the control of nickel hydrogen battery charging, have proved the validity of the algorithm.
将这种模糊神经网络控制器应用于镍氢电池的充电控制中，证明了算法的有效性。
This paper researched on a class of compound fuzzy neural network and made a variety of improvements.
对于一类复合型模糊神经网络，论文首先进行了多方面的改进研究尝试。
An optimization algorithm design based on chaotic variable is proposed for multilayer fuzzy neural network.
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。
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.
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。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
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