Search - fuzzy identification

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[Other resource] 1234567890cbd DL : 0: 1234567890cbd.rar(模糊识别)-1234567890cbd.rar (fuzzy identification)
Update : 2008-10-13 Size : 234.42kb Publisher : wj
[Other resource] fuzzy_theory DL : 0: 用VB编写的基于模糊数学原理的模糊识别程序，还有相应的例子-VB prepared based on fuzzy math theory of fuzzy identification procedures, and the corresponding example
Update : 2008-10-13 Size : 28.32kb Publisher : albert
[Speech/Voice recognition/combine] FCM_HCM DL : 0: 模糊识别的一种分类方法，属于模糊C均值方法，里面包括了算法与具体步骤。欢迎下载-fuzzy identification of a classification method is Fuzzy C - Means, includes the algorithm and the concrete steps. Welcome to download
Update : 2008-10-13 Size : 1.41kb Publisher : 王小然
[Other resource] fuzzy DL : 0: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。
Update : 2008-10-13 Size : 50.08kb Publisher : beyonddoor
[source in ebook] fuzzy_theory DL : 0: 用VB编写的基于模糊数学原理的模糊识别程序，还有相应的例子-VB prepared based on fuzzy math theory of fuzzy identification procedures, and the corresponding example
Update : 2025-02-19 Size : 28kb Publisher : albert
[Graph Recognize] HandNumIdenByModelReconition DL : 0: 一种用于手写字体识别（模糊识别）实现的源代码。隶属于模式识别领域-A handwritten font identification (fuzzy recognition) the source code. Attached to the field of pattern recognition
Update : 2025-02-19 Size : 113kb Publisher : 王旭辉
[Speech/Voice recognition/combine] FCM_HCM DL : 0: 模糊识别的一种分类方法，属于模糊C均值方法，里面包括了算法与具体步骤。欢迎下载-fuzzy identification of a classification method is Fuzzy C- Means, includes the algorithm and the concrete steps. Welcome to download
Update : 2025-02-19 Size : 1kb Publisher : 王小然
[Software Engineering] fuzzy_thoery DL : 0: 模糊算法原理课件，通过建模达到系统辨识（ppt）-fuzzy algorithms for courseware, reached through modeling system identification (ppt)
Update : 2025-02-19 Size : 122kb Publisher : 穆大虾
[Software Engineering] AdaptiveFuzzyControlSystem DL : 0: ：运用动力学原理建立了小车-倒摆的仿真模型, 并以对象输入输出的测试数据为依据，讨论了Takagi-Sugeno 模糊模型的参数辨识，提出了模糊逆模型控制方案，基于此借助Matlab 的 Simulink 设计了小车-倒摆的动态模型及其模糊自适应控制系统。仿真结果证明了本文采用的控制策略的有效性。-: The use of dynamic theory to establish a car- inverted pendulum simulation model and the object input and output test data as the basis to discuss the Takagi-Sugeno fuzzy model parameter identification, the fuzzy inverse model control scheme, based on the use of Matlab Simulink design of the car- inverted pendulum dynamic model and the fuzzy adaptive control system. Simulation results show this paper, the effectiveness of the control strategy.
Update : 2025-02-19 Size : 242kb Publisher : daizhk
[Documents] lubang DL : 0: 电液伺服系统的动态递归模糊神经网络辨识与鲁棒控制研究优秀的博士论文-Electro-hydraulic servo system dynamic recurrent fuzzy neural network identification and robust control of outstanding doctoral thesis research
Update : 2025-02-19 Size : 3.85mb Publisher : 李博
[Algorithm] fuzzy DL : 0: 分别是模糊识别、模糊聚类、模糊控制的实例代码-Are fuzzy identification, fuzzy clustering, fuzzy control examples of code
Update : 2025-02-19 Size : 315kb Publisher : wushili
[AI-NN-PR] fuzzy DL : 0: The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。-The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-( multi) input samples.The returned model has the form1) if input1 is A11 and input 2 is A12 then output = f1 (input1, input2) 2) if input1 is A21 and input 2 is A22 then output = f2 (input1, input2) can not read, according to experts said that very useful.
Update : 2025-02-19 Size : 50kb Publisher : beyonddoor
[Algorithm] nonlinear DL : 0: 有关非线性辨识的一些文章，包括模糊辨识，最小二乘辨识等等，还不错，需要做这方面的同学看看吧-Nonlinear Identification of some of the relevant article, including the fuzzy identification, least squares identification, etc., is also true that the need for students to do in this area take a look at it
Update : 2025-02-19 Size : 4.44mb Publisher : 安然
[matlab] Control-chart-based-on-identification-of-fuzzy-dat DL : 0: 基于控制图的模糊资料判别研究Control chart based on identification of fuzzy data-Control chart based on identification of fuzzy data
Update : 2025-02-19 Size : 111kb Publisher : zhejiang001
[matlab] neuro-fuzzy DL : 0: MATLAB SOFTWARE TOOL FOR NEURO-FUZZY IDENTIFICATION AND DATA ANALYSIS.
Update : 2025-02-19 Size : 179kb Publisher : heddam salim
[matlab] MATLAB-SOFTWARE-TOOL-FOR-NEURO-FUZZY-IDENTIFICATI DL : 0: NEURO-FUZZY IDENTIFICATION TOOLBOX
Update : 2025-02-19 Size : 150kb Publisher : haf
[Software Engineering] TS-Fuzzy-References DL : 0: TS模糊的重要参考文献，包括Takagi和Sugeno原始论文，及其两篇中文文献-TS Fuzzy References, Fuzzy Identification of System and Its Application to Modeling and Control included
Update : 2025-02-19 Size : 12.83mb Publisher : 王冰雪
[matlab] fuzzy-identification- DL : 0: fuzzy identification
Update : 2025-02-19 Size : 181kb Publisher : amirhosein
[matlab] Variable-Fuzzy DL : 0: 可变模糊识别。利用可变模糊理论方法，对风险进行识别，并可以对风险因素进行重要性排序。-Variable Fuzzy Identification. Risk factors can be identified and sorted according to the importance degree based on the variable fuzzy theory.
Update : 2025-02-19 Size : 1kb Publisher : Kelly
[matlab] boilier identification using Takagi Sugeno DL : 0: This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied to a non-linear numerical model. The non-linear input / output model of the system is decomposed in several described by membership functions and fuzzy rule-based local linear systems. The results are presented and prospects for future work.
Update : 2025-02-19 Size : 149kb Publisher : orques

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