Simulation proves the favorable identification ability of our network for dynamic system, which means quadric operation is one feasible mode in the structure design of recurrent TSK networks.

Influence of TangShenKang ( TSK) on Urinary Transforming Growth Factor β_1 ( TGF-β_1) of Diabetic Nephropathy

糖肾康对糖尿病肾病患者尿转化生长因子-β1的影响

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。

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。

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。

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；

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。

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。

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。

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。

The proposed new method not only has the better global learning abilities but also can inherit the virtues of the original visual TSK fuzzy system modeling method.

新的基于进化学习的算法不但具有更好的全局收敛能力，同时依然能继承视觉模糊建模方法的原有优点。

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；

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。

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。

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。

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。

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

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。

An Improved Fuzzy Reasoning Algorithm Based on TSK Model

基于TSK模型的模糊推理改进算法

Method of learning TSK fuzzy model by cooperative coevolution

TSK模糊模型的协同进化学习方法

Structure Design of TSK network: an Local Recurrent Network Based on Quadric Operation

TSK网络结构设计：一个基于二阶运算的局部反馈网络