The scheme of tracking maneuvering target based on neural fuzzy network with increased leaning is proposed.
本文提出了基于增量学习神经模糊网络机动目标跟踪模型。
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。
This feature can be finely described by the way of neural network and fuzzy mathematics etc. in an effort to develop the computer based expert system for coal blend successfully.
这种特征可以综合运用神经网络、模糊数学等现代数学方法加以满意地描述，并在此基础上成功地开发了优化配煤专家系统。
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。
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。
This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
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 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。
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。
In the light of the problems involved in a steam turbine rotor fault diagnosis proposed in this paper is a new diagnostic method based on a fuzzy self organizing neural network.
针对汽轮机转子故障分类问题，采用模糊数学和自组织特征映射神经网络方法诊断汽轮机转子的故障。
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。
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。
The fuzzy logic-neural network is used to analyze the tendency of insulation parameter change of HV(High Voltage) electric equipment.
提出了利用模糊逻辑-神经网络分析高压电气设备绝缘参数变化趋势的方法。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
It put forward a fuzzy solution of neural network in the decision.
提出了神经网络在决策中的一种模糊求解方法。
So we attempt to improve furtherly auto-control level of copper continuous extrusion production by fuzzy neural network control technology.
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。
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 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。
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。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
And introduce the fuzzy neural network models to improve the fuzzy comprehensive evaluation model.
并且引入模糊神经网络算法对模糊综合评判模型进行改进。
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。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
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。
Since a static fuzzy neural network cannot deal with the temporal problem, a dynamic fuzzy neural network (DFNN) with recurrent units is proposed.
针对静态网络无法处理暂态问题，对具有递归环节的动态模糊神经网络进行了研究。
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