We put forward effective Structure diagrams of motor drive systems using Fuzzy Control, Expert Control and Neural Conrol.
分别给出了模糊控制、专家控制和神经控制用于电机拖动系统的行之有效的结构形式。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于T S模型的自适应神经模糊推理系统(ANFIS)建模方法。
This paper USES the principle of decomposition-coordination for large-scale systems, fuzzy theory and neural networks technique to solve the real time arterial coordinated control problem.
利用大系统的分解-协调思想、模糊理论和神经网络技术来进行城市交通干线的实时协调控制。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
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。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
An approach to the technology with fuzzy systems, neural networks and genetic algorithms is given.
本文应用基于遗传算法的模糊神经网络方法，建立了科研项目立项评审的智能管理系统。
Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation. The method can generalize to defend and control on apiece epidemic.
提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想，该方法可以推广到各种流行性疾病的预防和控制中。
A new way combining neural networks and fuzzy systems is explored by means of this work.
此项工作为神经网络与模糊系统相结合探索了一条新的途径。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
This paper presents a method of building expert systems with fuzzy-neural technology '(FNT method).
本文提出了一种用模糊-神经技术建造专家系统的方法(FNT方法)。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
针对一类开环稳定的非线性系统，提出了一种基于模糊神经网络的非线性内模控制方案。
The paper introduces a kind of adaptive neural-fuzzy inference systems (ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.
针对纯碱碳化过程的复杂建模问题，提出基于T-S模型的自适应神经模糊推理系统（ANFIS）的建模方法。
On the basis of summing up existing methods for vibration control on the suspension systems, emphases are put on the discussion of application of fuzzy control, neural n...
在综述了现有的各种悬架控制方法基础上，着重论述了模糊控制、神经网络控制、模糊神经网络控制等方法在车辆悬架控制系统中的应用。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Based on adaptive backstepping control techniques and fuzzy-neural theory, a sliding mode control scheme is proposed for missile control systems with uncertainties.
阐述了在导弹系统存在不确定性情况下，基于自适应反演控制技术和模糊神经网络理论，提出了一种导弹滑模控制系统设计方法。
Completing projects in industry automation, computer software, motor control, micro controller application systems, fuzzy control, neural networks and control, and other advanced control techniques.
该系承担过多个工业自动化控制、计算机软件工程、单片机应用系统网络工程、大型灯光工程和音响工程方面的科研项目和实际工程项目。
On the basis of summing up existing methods for vibration control on the suspension systems, emphases are put on the discussion of application of fuzzy control, neural network control…
在综述了现有的各种悬架控制方法基础上，着重论述了模糊控制、神经网络控制、模糊神经网络控制等方法在车辆悬架控制系统中的应用。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
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