Description: 使用MATLAB的S函数来实现模糊控制查询表的计算，全部由程序实现，不使用FUZZY工具箱.-using MATLAB S function to achieve fuzzy control for the table, all by program, the non-use of fuzzy toolbox. Platform: |
Size: 2071 |
Author:胡卫华 |
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Description: 偶编写的倒立摆系统的MATlab关于模糊自适应控制的对象和控制器S函数，以及Simulink模块文件，一个完全实现的倒立摆程序，发表文章很有用-Even the preparation of the inverted pendulum system on the Matlab fuzzy adaptive control of the object and the controller S function, as well as the Simulink module files, a full realization of the inverted pendulum process, published an article very useful Platform: |
Size: 5120 |
Author:李孙权 |
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Description: 使用模糊神经网络实现非线性函数映射，直接在matlab中运行即可。-Realize the use of fuzzy neural network nonlinear function mapping, directly in matlab can run. Platform: |
Size: 2048 |
Author:王元 |
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Description: 熟悉三角形模糊数、中心及隶属函数表达式的概念。了解特征映射算法及统计中的 统计量的概念。利用聚类迭代算法建立 个三角形形式的隶属函数
-Familiar with the triangular fuzzy number, membership function centers and the concept of expression. Understand the feature mapping algorithm and statistics of the concept of statistics. Iterative use of clustering algorithms to establish a triangular form of membership function Platform: |
Size: 1024 |
Author:David |
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Description: 这是神经模糊网络中的D-FNN，极其所用到的函数程序。-This is a neuro-fuzzy network in the D-FNN, most of the procedures used in the function. Platform: |
Size: 2048 |
Author:张宁 |
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Description: 第一章介绍模糊集合的基本概念、建立模糊集合隶属度函数的基本方法以及Matlab模糊工具箱中的函数的应用。第二章判别分析方法包括距离判别、模糊集合的贴近度判别以及最大隶属原则。第三章在模糊矩阵概念的基础上，给出了模糊聚类的基本方法以及模糊C均值聚类的Matlab实现。第四章模糊综合评价，建立了客观性权向量、模糊矩阵的综合评价方法。第五章层次分析法介绍了模糊层次分析的建模方法与应用。第六章在普通线性规划的基础上，引入模糊线性规划、多目标规划的模糊最优解以及模糊线性规划在经济中的应用实例。
本书主要对象是财经类院校本科生，可以作为数学建模第二课堂的辅导教材，也可供硕士研究生以及科技工作者参考。-The first chapter introduces the basic concepts of fuzzy sets, fuzzy set membership function to establish the basic methods and functions in the Matlab fuzzy toolbox application. Chapter sub-discriminant analysis, including distance
Do not, determine closeness of fuzzy sets and the maximum membership principle. The third chapter in the fuzzy matrix based on the concept, given the basic methods of fuzzy clustering and fuzzy C means clustering of the Matlab implementation. S
Fuzzy comprehensive evaluation of four chapters, the establishment of the objectivity of the weight vector, fuzzy comprehensive evaluation matrix. Chapter V describes the fuzzy AHP AHP modeling methods and applications. Chapter VI in the general linear
Planning based on fuzzy linear programming, multiobjective programming and fuzzy optimal solution of fuzzy linear programming application example in the economy.
This book is the main target of Financial College undergraduates, mathematical modeling can be used Platform: |
Size: 4156416 |
Author:foxway |
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Description: 使用MATLAB的S函数来实现模糊控制查询表的计算，全全部由程序源码实现，不使用FUZZY工具箱。
-MATLAB S-function to the calculation of fuzzy control query table, the whole all by the program source code, do not use the FUZZY toolbox. Platform: |
Size: 2048 |
Author:ab |
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Description: 本书首先介绍了MATLAB语言的程序设计的基本内容，在此基础上系统介绍了各个应用数学领域的问题求解，如基于MATLAB的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。本书可作为一般读者学习和掌握MATLAB语言的教科书，也可作为高校理工科各类专业的本科生和研究生学习计算机数学语言的教材和参考书，可供科技工作者、教师作为学习和应用MATLAB语言解决实际数学问题的参考资料，还可作为读者查询某数学问题求解方法的手册。-This book introduces the MATLAB language programming to the basic content, on the basis of this system introduces the various applications of mathematics problem solving, such as those based on MATLAB calculus, linear algebra problem solving by computer, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problem, data interpolation and function approximation problem, probability theory and mathematical statistics analytical solution and numerical solution. Also introduced a new non traditional methods such as fuzzy logic and fuzzy reasoning, neural network, genetic algorithm, wavelet analysis, rough sets and fractional calculus and other fields. This book can be used as ordinary readers to study and master the MATLAB language textbooks, also can be used as the University s science and engineering of various kinds of professional undergraduate and graduate study in c Platform: |
Size: 54010880 |
Author:詹瑞 |
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Description: 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning. Platform: |
Size: 117760 |
Author:林真天 |
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Description: 使用MATLAB的S函数来实现模糊控制查询表的计算 不错的-Using MATLAB S function to realize the calculation of fuzzy control query table is good Platform: |
Size: 1024 |
Author:ozagq@392 |
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Description: 使用MATLAB的S函数来实现模糊控制查询表的计算 不错的(Using MATLAB "S function to realize the calculation of fuzzy control query table is good) Platform: |
Size: 1024 |
Author:defaujt
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Search - s function of fuzzy matlab