• Because fuzzy neural network is simple and practical, it has been widely used in industrial process control, signal processing and other fields.

    模糊神经网络由于其简单实用,已被广泛用于工业过程控制、信号处理等领域。

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  • 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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  • A fuzzy neural network integral sliding mode control approach was proposed.

    提出了一种基于模糊神经网络的积分滑模控制算法。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented.

    论述了模糊系统和神经网络相结合的非线性系统辨识理论。

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  • A fuzzy neural network was founded to simulate the process of yeast fed batch fermentation.

    利用模糊神经网络构建了酵母流加发酵过程的网络模型。

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  • A fuzzy neural decoupled hybrid controller is obtained by combining PI with fuzzy neural network.

    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。

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  • 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。

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  • 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。

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  • 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。

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  • Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.

    然后应用一种改进的模糊神经网络自适应控制系统,设计了TCBR的控制器。

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  • 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。

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  • The fuzzy neural network technology has provided strong technology support for intelligent fuzzy sensor system.

    模糊神经网络技术为智能模糊传感器系统设计提供了强有力的技术支持。

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  • The fuzzy neural network and hierarchy control is used to solve the problem of traffic control for the trunk roads.

    针对城市交通干线协调控制的要求,提出了利用模糊神经网络分层递阶控制的方法。

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  • Data of 60 software projects is used as specimen to train the neural network system and fuzzy neural network system.

    将60个软件项目的相关数据作为样本,分别对神经网络和模糊神经网络两种系统进行训练。

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  • An improved fuzzy neural network can be developed to implement synchronous control for the double hanging point gate.

    利用一种改进的模糊神经网络实现双吊点闸门的同步控制。

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  • 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。

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  • Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.

    本文提出一种模糊神经网络自学习控制方法,并应用于窑炉温度控制系统中。

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  • An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.

    通过对控制系统的过程模拟,提出一种模糊神经网络最优控制方案。

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  • 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。

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  • The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.

    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。

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  • With the fuzzy neural network method the early warning model for judging the occurrence possibility of debris flow is established.

    笔者利用模糊神经网络方法建立了判定泥石流灾害发生可能性的预警模型。

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  • 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。

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  • This paper puts forward a fuzzy neural network system aimed at stock price prediction, and an ameliorative method on its function is studied.

    本文提出了一个面向股市预测的模糊神经网络系统,并针对系统性能的改善进行了深入研究。

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  • A new algorithm of employing the fuzzy neural network is proposed to realize speech data fusion for speech recognition under high noisy condition.

    针对高噪音环境中的语音识别问题,提出一种利用模糊神经网络进行语音数据融合的新算法。

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  • Evolving fuzzy neural network is a particular type neural network, which evolves both its structure and parameters to accommodate new coming data.

    进化式模糊神经网络是一个特殊类型的神经网络,它能通过进化其结构和参数来容纳新的数据。

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  • By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.

    使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。

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