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Description: Converts a monochrome mosaiced TIFF file to simulator format. 在matlab上运行，去除模糊图像，重影。-Converts a monochrome TIFF file mosaiced t o simulator format. In Matlab run, remove fuzzy images ghost.
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Size: 4057 |
Author: 小明 |
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Description: Converts a monochrome mosaiced TIFF file to simulator format. 在matlab上运行，去除模糊图像，重影。-Converts a monochrome TIFF file mosaiced t o simulator format. In Matlab run, remove fuzzy images ghost.
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Size: 4096 |
Author: 小明 |
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Description: 模糊C均值算法的m文件带自己的解释，希望能给大家一点学习上的帮助。
-fuzzy c-means algorithm m document with its own interpretation, in the hope of giving the public a little bit of learning assistance.
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Size: 13312 |
Author: 孙李娜 |
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Description: 一本结合模糊推论系统matlab code源码的电子书，是学习模糊控制最佳用书。-This file contains code for solving some exercises, design problems, and examples in the book:Kevin M. Passino and Stephen Yurkovich, Fuzzy Control,
Addison Wesley Longman, Menlo Park, CA
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Size: 4988928 |
Author: Vlog |
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Description: 模糊控制simulink文件。里面有个自写的模糊逻辑模块。可运行。-Fuzzy control m file. Can run.
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Size: 8192 |
Author: 罗波 |
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Description: 用M文件写的模糊控制器，不是采用的模糊工具箱-M file written by the fuzzy controller, not using the fuzzy toolbox
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Size: 2048 |
Author: 曹小名 |
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Description: 模糊数学工具箱，内置函数，matlab实用分析，M文件类型-Fuzzy Math Toolbox, built-in functions, matlab utility analysis, M File Type
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Size: 9216 |
Author: wangxiao |
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Description: 对《Fuzzy c-means clustering with weighted image patch for image segmentation》这篇文章进行了实现，运行速度在一分钟之内，希望对研究模糊c均值及其拓展算法的人有所帮助。运行testWIPFCM.m即可，注意改掉文件路径-On " Fuzzy c-means clustering with weighted image patch for image segmentation" This article was realized, the operating speed in a minute, I hope to study fuzzy c-means algorithm and its expansion to help people. Run testWIPFCM.m can pay attention to get rid of the file path
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Size: 2666496 |
Author: 闫桂霞 |
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Description: 描述：在题目一的程序基础上，增加文件存储和高级搜索功能。
f) 文件存取功能：程序启动后自行从自定义的文件中读取所有俱乐部记录，并且各种增删改查操作后能够自动保存更新后的数据。
g) 高级搜索功能：可以对所有球员的各项属性进行条件搜索，搜索采用表达式输入的方式（表达式支持 &&、||、!、括号、<、=、>），并能实现对球员姓名的模糊查找（运算符为~），输出球员的详细信息。
例如：
i. “年龄不大于25且服役年限大于5年，或者进球数大于100的球员”，查询表达式：( !(@age>25) && @experience>5) || @kick>100
ii. “属于俱乐部A、B的所有球员”，查询表达式：@club=A || @club=B
iii. “名字中含有abc的所有球员”，查询表达式：@name~abc
要求：
h) 必须在题目一的代码基础上来修改；
i) 必须支持文件读写时的异常处理；
j) 文件格式采用文本文件，文件格式需自行设计；
k) 文件名可以由程序内部自行指定，不需要用户手动设置；
l) 其他要求与题目一相同；
m) 在题目要求基础上可以自行扩展功能，提供扩实用扩展功能者适当加分（加分不超过5分）。
-Description: In the title on the basis of a program to increase file storage and advanced search functions.
f) file access functions: the program starts from its own custom file reads all club records, and a variety of CRUD operations can automatically save the updated data.
g) Advanced Search function: for all the attributes of the players for conditional search, the search expression input approach used (expression support &&, | |,!, brackets, <, =,>), and can realize the players Name of fuzzy search (operator of ~), the output player details.
For example:
i. "Age is not more than 25 years and serving more than five years, or more than 100 goals a player," the query expression: (! (@ age> 25) && @ experience> 5) | | @ kick> 100
ii. "belong to the club A, B, all the players," the query expression: @ club = A | | @ club = B
iii. "abc name contains all the players," the query expression: @ name ~ abc
Requirements:
h) must be in the title up a code base modificatio
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Size: 1533952 |
Author: 正好 |
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Description: solution sugeno fuzzy logic in m file
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Size: 1024 |
Author: jawahirhaq |
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Description: 模糊PID 控制算法的M文件，详细的介绍了控制算法的实现-M File fuzzy PID control algorithm, described in detail the realization of control algorithm
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Size: 1024 |
Author: 崔玉 |
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Description: This M-file is designed to be used in a Simulink S-function block.
It draws a line the previous input point, which is stored using
discrete states, and the current poin-This M-file is designed to be used in a Simulink S-function block.
It draws a line the previous input point, which is stored using
discrete states, and the current poin
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Size: 218112 |
Author: Mohammad Fiuzy |
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Description: matlab补偿模糊神经网络源代码
本文中有两个函数m文件：model126.m是一个用于预测的完全没有用工具箱函数的补偿模糊神经网络主程序，用于仿真、对比训练数据和网络输出的差异；cb.m是一个非线性系统的数学模型，在model126.m中用“ode45”函数求解这个数学模型后，可以得到105个x1(t)、x2(t)和y(t)，从而建立起一个两输入一输出的补偿模糊神经网络。(There are two function m file in this paper: model126.m is a completely useless for predicting the compensation fuzzy neural network toolbox function for the main program, the difference between the simulation and contrast the training data and the output of the network; cb.m is a mathematical model of a nonlinear system, using the "ode45" function to solve the mathematical model in the model126.m after that can be 105 X1 (T), X2 (T) and Y (T), which established a two input and one output fuzzy neural network.)
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Size: 1024 |
Author: Zenia |
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