Description: 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 Platform: |
Size: 29000 |
Author:albert |
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Description: 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 Platform: |
Size: 1446 |
Author:王小然 |
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Description: 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。 Platform: |
Size: 51282 |
Author:beyonddoor |
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Description: 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 Platform: |
Size: 28672 |
Author:albert |
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Description: 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 Platform: |
Size: 115712 |
Author:王旭辉 |
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Description: 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 Platform: |
Size: 1024 |
Author:王小然 |
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Description: ：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. Platform: |
Size: 247808 |
Author:daizhk |
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Description: 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. Platform: |
Size: 51200 |
Author:beyonddoor |
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Description: 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 Platform: |
Size: 4654080 |
Author:安然 |
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Description: 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 Platform: |
Size: 113664 |
Author:zhejiang001 |
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Description: 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 Platform: |
Size: 13457408 |
Author:王冰雪 |
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Description: 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. Platform: |
Size: 1024 |
Author:Kelly |
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Description: 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. Platform: |
Size: 152576 |
Author:orques
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Search - fuzzy identification