搜索资源列表
INTERVAL
- 2型区间模糊集程序 matlab源码对大家有用INTERVAL T2 NS MAMDA T2 FLS-Type 2 interval fuzzy sets procedures for U.S. matlab source of useful INTERVAL T2 NS MAMDA T2 FLS
t2fls
- 利用T2FNN進行MEC建模,針對IC散射現象進行量測與模擬比較-Type 2 fuzzy neural network for EMC
GeneralType2FLSs
- matlab mfile fo fuzzy type-2
IntervalApproach(IA)tofuzzisticsFolder
- matlab mfile for fuzzy type-2-matlab mfile for fuzzy type-2
NWAFolder
- matlab mfile for type-2 fuzzy contoller
GeneralType-2FLSs
- 区间类型2模糊逻辑函数，对于学习Type-2不错的源码-Interval Type-2 fuzzy logic function, for study and Type-2 a good source
T2FLToolbox
- Type-2 Fuzzy Logic Toolbox, 土耳其教授MUZEYYEN BULUT OZEK编写的。做simulink仿真有用。-Type-2 Fuzzy Logic Toolbox by Prof. MUZEYYEN BULUT OZEK
person
- [设计要求]一、定义人员（person）类，其中至少包括姓名、性别、 电话、地址、邮政编码、邮箱、QQ号和类别（例如：同学、朋友等）。 二、实现下面的功能 1、设计菜单实现功能选择； 2、输入功能：输入人员信息，并保存到文件中； 3、查询功能：1）能够根据姓名、电话精确查询人员信息； 2）能够根据地址进行模糊查询人员信息； 3）根据人员类别查询人员信息 4、根据姓名对人员信息排序输出 5、能根据姓名、电话修改人员信息
fuzzy-type-2
- Fuzzy logic systems (FLSs) usually employ type-1 fuzzy sets and represent uncertainty by numbers in the range [0,1] which are referred to as degrees of membership. Type-2 fuzzy sets are an extension of type-1 fuzzy sets with an additional dim
General-Type-2-FLSs
- general type 2 fuzzy logic matlab
A-Brief-Tutorial-on-Interval-Type-2-Fuzzy-Sets-an
- Designing Practical Interval Type-2 Fuzzy Logic Systems Made Simple
Interval-Type-2-Fuzzy-Systems
- Interval Type-2 Fuzzy Systems Trained by Hybrid Heuristic Algorithm for Stock Exchange of Thailand
Type-2-Fuzzy-Logic
- Type-2 Fuzzy Logic for Edge Detection of Gray Scale Images
Interval-Type-2-Fuzzy-Logic-Toolbox
- This paper presents the development and design of a graphical user interface and a command line programming toolbox for construction, edition and observation of Interval Type-2 Fuzzy Inference Systems. The Interval Type-2 Fuzzy Logic System Toolbox (
fuzzy type 2
- fuzzy logic type toolbox
ransac_homography
- Fuzzy Type-2 & Fuzzy Logic Systems - Fuzzy
20170609080945510
- type-2 fuzzy controllers (T2FLC) are designed to control position of yaw and pitch angles of the Twin Rotor Multi-input Multi-output System (TRMS) characterized with nonlinear dynamics and uncertainties
c72e5dd2127eecc688cd6c5d0299e28b3ab1
- This paper focuses on the design of a novel control approach. Its contribution to the existing literature is that in the design of an interval type-2 fuzzy neural system, recursive fuzzy c-means clustering algorithm is used and the designed algorithm
fuzzyEngine-0.2-src
- engie for java. to develop application with fuzzy controller
ilker ali type 2
- this toolbox designed for type 2 fuzzy logic systems