With all the knowledge you have now? Tsk. 带着你的知识回去。
Flight test vehicles require a certain degree of wiring and installation modification to accommodate flight test equipment. TSK produces test systems and adaptation units for wire harness inspection. 飞行试验机需要一定程度的配线和安装改动来适应飞行测试设备。我司为汽车行业提供检测成型线?的测试和适配系统。
Design of Position Control of Brushless DC Motor Servo System Based on TSK-type Recurrent Fuzzy Neural Network 一种基于TSK型递归模糊神经网络的无刷直流电动机位置控制方法仿真
TSK Fuzzy Systems Based on Fuzzy Partition and Support Vector Machines 基于模糊划分和支持向量机的TSK模糊系统
TSK fuzzy modeling approach based on entropy criteria is presented in this paper. 提出了一种基于熵准则函数的TSK模糊系统建模方法。
Judy Fabray: Honey, I don't want you to lift a finger for me. Tsk. I'm your wife. 亲爱的,我可不想劳您大驾。啧啧。我是你的妻子。
Do not smack your lips," tsk", roll your eyes, or show disrespect with gestures. 不要咂嘴、咋舌、翻白眼或做无礼的手势。
An Improved Fuzzy Reasoning Algorithm Based on TSK Model 基于TSK模型的模糊推理改进算法
In order to improve the calibration accuracy of the traditional car-following model based on fuzzy reasoning, this paper proposes a new model based on the TSK model. 为解决传统的基于模糊推理的车辆跟驰模型参数校准精度差的问题,提出了基于TSK模型的车辆跟驰模型。
Immediately after the point introduced a new central fuzzy system CTSK ( Central TSK Fuzzy System) is introduced. 接着引入并详细分析推导了一种新的TSK模糊系统CTSK(CentralTSKFuzzySystem)。
To the problem of multi-constraint and multi-target optimization in learning fuzzy model, TSK fuzzy model is decomposed of twain different species. The method of learning the model by cooperative coevolution is proposed. 针对TSK模糊模型的学习是多约束和多目标优化问题,提出将TSK模糊模型分解为两类不同的种群,协作共同进化的模型学习方法。
Based on the support vector machine ( SVM) identification and the control for TSK fuzzy model of the nonlinear system are studied. Linear control theory can be used to control nonlinear system using the TSK model. 研究非线性系统TSK模糊模型的辨识与控制,利用TSK模型,可以将线性控制理论应用于非线性系统控制。
The principles, constructures and algorithms of BP and Kohonen network and the TSK fuzzy model are discussed. The two neural networks are combined to processing the outliers in load data, while the fuzzy model is the kernel of a multi-factor load forecasting system. 本文详细讨论了BP网、Kohonen网两种神经网络和TSK型模糊推理系统的原理、结构和算法等基本问题,其中前两者用于对负荷坏数据的处理,后者用在多因素负荷预测建模。
A new hybrid learning algorithm was proposed to train the fuzzy neural network based on TSK fuzzy model. Firstly, fuzzy c-means algorithm was applied to initialize the parameters of the fuzzy neural network. 提出了一阶TSK模糊神经网络的混合学习算法,算法由三部分组成:基于模糊聚类的网络初始化;
TSK FNN which composed of TSK fuzzy system and pi-sigma neural net has the advantages of both neural net and fuzzy system. 因此我们考虑将TSK模糊神经网络应用到经济预警上,它同时具有神经网络自适应能力强和模糊系统可以处理专家经验的优点。
Improved Fuzzy Counter Propagation Neural Network Based on TSK Fuzzy System 基于TSK模糊系统的模糊对向传播神经网络
This thesis deals with some theory aspects of recurrent neural networks, including structure design, structure selection and learning algorithms, and has recurrent multilayer perceptron, TSK and network ensembles as processing objects. 本文对反馈王络的若干理论问题进行了较为深入的研究,内容涉及反馈网络的学习算法和网络结构设计,研究对象为反馈多层感知网络、反馈TGK网络和网络群等。
In this paper, a novel parameter identification method used for hydrodynamic forces of water-exit body is proposed, based on TSK fuzzy system. 提出了基于TSK模糊逻辑系统智能技术的物体垂直出水水动力参数辨识新方法。
Identification and Control for TSK Fuzzy Model Based on SVM 基于支持向量机的TSK模糊模型辨识与控制
The TSK fuzzy model is identified based on the SVM and the recursive least square method, and membership function parameters are optimized with the genetic algorithm so that identification error is minimized. 基于支持向量机和递推最小二乘法,辨识出TSK模糊模型,并且通过遗传算法优化隶属度函数参数,最小化辨识误差。
Biochemical variable estimation model based on TSK fuzzy system 基于TSK模糊系统的生化变量预估模型
This algorithm utilizes TSK modeling scheme to identify fuzzy internal model on line by using the input and output measurement of the plant; 根据对象输入与输出测量值,利用TSK建模方法在线辨识局部模糊内部模型;
TSK Fuzzy Control of Helicopter 直升机的TSK模糊控制
TSK fuzzy model is obtained by the mathematical nonlinear part of helicopter, then TSK fuzzy controller is designed. 直升机数学模型中线性部分设计状态反馈控制器非线性部分先求TSK模糊模型,然后设计TSK模糊控制器。
Method of learning TSK fuzzy model by cooperative coevolution TSK模糊模型的协同进化学习方法
The if-then rules interpreted from the new network is more comprehensible than the other TSK networks that are based on independent transformations or G-FGS neurons. TSK网络表征一组If-Then规则,本文网络较采用独立变换[3]和基于G&FGS神经元[4]的网络易于理解。
TSK fuzzy model is used widely. It can approximate the nonlinear function by arbitrary precision. The nonlinear systems will be analysised as a number of linear subsystems, thus the control theorys of the linear systems also can be used in the nonlinear systems, too. TSK模糊模型应用广泛,能以任意精度逼近非线性函数,把非线性系统当作多个线性子系统来处理,从而将线性系统的控制理论适用于非线性系统中。
Therefore, a new fuzzy controllor for maximum energy extraction from variable speed wind turbines is presented in this paper, and the Takagi – Sugeno – Kang ( TSK) fuzzy model based on Support Vector Machine ( SVM) is used in this controller. 基于以上,本文提出了一种新型模糊控制器用于变速风力发电机组最大能量获取,该控制系统中使用到了基于支持向量机(SVM)的机组Takagi–Sugeno-Kang(TSK)模糊模型。
In Chapter 4, the TSK fuzzy system modeling is re-considered from a new point of view and a more robust TSK fuzzy system modeling approach based on the visual-system principle and the Weber law is presented. 第四章提出了一种较鲁棒的基于视觉原理和WEBER定律的TSK模糊系统建模方法。
The evolutional learning method is introduced to train the parameters of the Visual TSK fuzzy system. 通过引入进化学习方法提出了视觉TSK模糊系统新的进化学习训练算法。