搜索资源列表
此模块封装了GDI+1.1里面的Effect
- 此模块封装了GDI+1.1里面的Effect,在模块里是“GP效果类”,这个类只是一个基类,真正要使用的是它的子类,包括: “GP模糊类”、“GP锐化类”、“GP色调类”、“GP红眼修正类”、“GP颜色矩阵效果类”、“GP颜色查找表类”、“GP亮度对比度类”、“GP色相饱和亮度类” “GP色彩平衡类”、“GP色阶类”、“GP颜色曲线类” 使用步骤:(拿 GP模糊类 打比方) 1、创建一个“GP模糊类” 2、调用“GP模糊类.置参数()”方法,设置模糊参数 3、
Type-1FLSs
- matlab mfile for fuzzy type-1 flc
Type-1FLSs
- Type-1模糊逻辑系统方面的源码,对于学习模糊逻辑有很大的帮助。-Type-1 fuzzy logic systems, the source code, for fuzzy logic to learn a great help.
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
A_Brief_Tutorial_on_Interval_Type-2_Fuzzy_Sets_an
- This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial w
ELK-1107-10_manuscript_1
- Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced
2005_FUZZY05(EmbeddedType2FLC)
- Marine and Traction propulsion systems operate in highly dynamic and uncertain control environments. The current speed controllers for marine/traction propulsion systems are based on PID and type-1 Fuzzy Logic Controllers (FLCs) which ca
IT2-fuzzy-expert-system-for-prediction-of-carbon-
- This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analy
FUZZY-CONTROL-MAMDANI
- 一个3-4-1型的mamdani模糊控制系统,可适用于很多情况。-A 3-4-1 type mamdani fuzzy control system, applicable to many situations.
Fuzzy-Neural-Network-by-matlab
- 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 net
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
PSSF2
- An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) of a single machine infinite bus (SMIB) and multi machine infinite bus (MMIB) system incorporated with an AC1A exciter. For c
fuzzy-1-and-2-
- Toolbox for Interval Type-2 Fuzzy Logic Systems Type-2 systems has been becoming the focus of research in the field of fuzzy logic in recent years Comparing with type-1 systems, type-2 fuzzy systems are more complex and relatively more difficult to u
IT2FLSv1.1 (1)
- fuzzy type 2 matlab toolbox package
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
aguilar2017
- Flaxseed may improve the adverse effects of the lack of oestrogens. This study compared the effects of brown and golden flaxseed intake on body composition, inflammation and bone biomarkers in overweight perimenopausal women.
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
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
GFS Toolbox
- Toolbox for Fuzzy logic type-2 and type-1
461518359T2FLToolbox (1)
- 一种免费的模糊2型GUI基于MATLAB。(A free Fuzzy 2 GUI is based on MATLAB.)