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.
模糊神经非模型控制是智能控制的一个前沿课题。
The fuzzy-neuro model-free control is one of the important areas in intelligent control.
简要介绍了模糊神经技术及其在国外核电站上的应用。
The application of fuzzy neural technology in nuclear power stations has been introduced.
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.
提出一种基于模糊空间非标准划分的模糊神经控制方法。
In this paper, a novel fuzzy neural control approach based on the nonstandard partition of fuzzy space is proposed.
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.
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.
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。
Fuzzy neural technology is a kind of newly developed intelligent technology. It has been adopted successfully in nuclear power stations abroad.
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.
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.
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.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
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.
将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
A fuzzy neural decoupled hybrid controller is obtained by combining PI with fuzzy neural network.
本文将模糊神经网络与PI控制技术相结合构成一种模糊神经解耦混合控制器。
Integrating fuzzy neural network and PI controller, we obtained a fuzzy neural decoupled hybrid controller.
提出了一种适用于高压直流输电系统快速灵活控制的在线模糊神经直流控制器。
This paper describes an on - line controller for the fast and flexible control of the HVDC transmission system based on fuzzy logic and ANN.
本文提出了具有不确定性火电单元机组的一种前馈模糊神经非模型协调控制方法。
The novel method of the fuzzy neuron model-free coordination control is proposed for a unit power plant with uncertainties in this paper.
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.
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.
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.
本文研究了模糊聚类方法结合模糊神经分类系统，筛选出了好的数据记录，在优选压裂井时使用。
This paper found the "good" dataset by using fuzzy clustering and fuzzy neuro-cluster data classification system, which can be used in the candidate selection.
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.
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.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
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.
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.
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.
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