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。
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。
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。
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。
The research on combinations of genetic algorithms, neural network and fuzzy logic is attracting the attention of many researchers because of many common and complementary features among them.
由于它们在特性上有许多共同性和互补性，将遗传算法、神经网络与模糊逻辑相结合的研究已成为当前的研究热点之一。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
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。
Fuzzy logic and neural network controller and their applications in an electro hydraulic servo position system are discussed.
讨论了模糊逻辑和神经网络控制器在电液伺服位置系统中的应用。
So the research on intelligent methods which are based on neural network and fuzzy logic have become a focus today.
因此，基于神经网络、模糊逻辑等智能计算的板形测控方法已经成为研究的热点。
This paper proposes an adaptive fuzzy logic neural network power system stabilizer.
本文提出一种自组织模糊神经网络稳定器。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
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。
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。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
By the human fuzzy logic, the rule of air-combat policy is built, which decomposes the state space, decreases the action space and improves the efficiency of neural network.
并依据人的模糊思维建立空战对策准则，实现状态空间的离散化以减小动作空间范围，提高网络学习效率。
By using this model, people need not select any fuzzy logic in advance, and can adjust the network structure by the structure and parameter learning of the neural network.
该模型无需事先确定模糊控制规则，并能通过神经网络的结构及参数学习调整模糊神经网络的结构。
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。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
The compensative fuzzy neural network (CFNN) based on compensative fuzzy logic and neural network and its study arithmetic are researched.
研究了基于补偿模糊逻辑与神经网络相结合的补偿模糊神经网络(CFNN)。
At last we use examples to verify the accuracy of the method that combines BP neural network with fuzzy logic and the expert advice to appraise the predominance industry.
最后以实例验证了应用BP神经网络结合模糊逻辑和专家意见法进行主导产业的评价的准确性。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
A fuzzy neural network is presented. It is essentially a network implementation of fuzzy logic.
提出的一种模糊神经元网络是模糊逻辑的一种网络结构的实现。
This paper introduced firstly the basic knowledge of fuzzy logic and neural network, then the network structure and algorithm of the standard T-S fuzzy neural network were presented.
本文首先介绍了模糊逻辑和神经网络的基本知识，并由此给出了标准的T - S模糊神经网络的网络结构及算法。
T-S fuzzy neural network not only has the advantage of fuzzy logic and the neural networks, but also has good learning ability.
基于T - s模型的模糊神经网络不但具有模糊逻辑和神经网络两者的优点，又具有很好的学习能力。
Then, the controller based on fuzzy neural network for greenhouse system is designed through combining advantages of fuzzy logic and neural network.
并结合模糊逻辑控制和神经网络控制的各自优点，设计温室模糊神经网络控制器。
Compensatory fuzzy neural network is a hybrid system which integrates compensation fuzzy logic and neural network.
补偿模糊神经网络是综合补偿模糊逻辑和神经网络的混合系统。
Both neural network and fuzzy logic are valid method for data mining.
神经网络和模糊逻辑都是有效的数据挖掘方法。
Both neural network and fuzzy logic are valid method for data mining.
神经网络和模糊逻辑都是有效的数据挖掘方法。
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