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4下载：
在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类，遗传算法聚类分析，层次聚类和动态聚类等算法。可以运行，并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
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微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
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基于一个二阶系统的滑模变结构控制的应用,另外加入了模糊控制来减轻变结构控制带来的振动.-Second-order system based on a sliding mode variable structure control applications, the other joined the fuzzy control variable structure control to reduce vibration caused.
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we use GUIDE to creat a GUI in which we load two images ,convert to binary images and calculates the percentage match.This is gud for studying image procssing for beginners.
i think this coudl be modified better and hardware interfaced for clinic
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一种改进的BP算法在模糊神经网络中的应用，性能得到很好的改善。-An Improved BP Algorithm in the fuzzy neural network applications, performance is very good improvement.
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《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。
-" MATLAB Control System S
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关于模糊逻辑工具箱的具体应用，案例有源码，有详细的操作步骤，对初学MATLAB又想急于上手的尤其有参考价值！-About fuzzy logic toolbox of specific applications, case there is source, has detailed the steps, eager for the beginner-to-use MATLAB in particular want to have reference value!
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模糊PID的MATLAB仿真...应用模糊逻辑理论在线修正P，I，D的三个参数-MATLAB simulation of the fuzzy PID fuzzy logic theory ... applications online amendment P, I, D of the three parameters
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John Wiley & Sons,.Fuzzy Engineering Expert Systems with Neural Network Applications.[2002.ISBN0471293318]
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模糊控制理论在汽车中的应用一、概述
二、在汽车上的应用方面
三、举例说明在汽车空调当中的应用
四、简要介绍在其他方面的应用
-Fuzzy control theory in the application of a vehicle, an overview of the Second, in the car on the three applications, for example in the application of automotive air-co
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模糊计算的应用和算法概述，研究他在各方面的应用-Fuzzy algorithm for computing applications and an overview of research in various aspects of his application
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《MATLAB图形技术_绘图及图形用户接口》
MATLAB语言在数值计算，数据处理，自动控制，信号处理，神经网络，优化计算，模糊逻辑，小波分析，图像处理，统计分析等众多领域有着广泛的用途。-" MATLAB graphics _ graphics and graphical user interface" MATLAB language in the numerical calculation, data processing, automatic control, sig
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sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper:
Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
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模糊数学及其应用，1986经典版，水本雅晴（日）著，希望对研究模糊理论的朋友有帮助-Fuzzy Mathematics and Its Applications, 1986 classic version, Masaharu Mizumoto (Japan) with the hope that the study of fuzzy friends help
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电子书包含了MATLAB在神经网络控制、模糊逻辑控制、预测控制方面的应用介绍，每一部分都包括基本控制理论的介绍和MATLAB对应工具箱的介绍和实现方式。 智能控制及其MATLAB实现-E-book contains the MATLAB neural network control, fuzzy logic control, predictive control applications introduction, each part including the introduction of
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同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域，基于Java语言实现。-Compared with the genetic algorithm, PSO has the advantage is simple and easy and there is no need to adjust many parameters. Has been widely applied to function o
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FUZZY LOGIC WITH ENGINEERING APPLICATIONS(2nd Edition)
Author: Timothy J. Ross
Introduction:The second edition of this text has been ‘‘on the drawing board’’ for quite some time.Since the first edition was published, in 1995, the technology of fu
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Flood神经网络程序包，Flood is a comprehensive class library which implements the multilayer
perceptron in the C++ programming language. It has been developed follow-
ing the functional analysis and calculus of variations theories. In this regard,
this
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模糊神经网络的的相关应用及介绍，能帮助理解模糊神经网络的基本概念-Fuzzy neural network and the introduction of related applications, can help to understand the basic concepts of fuzzy neural network
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Using the fuzzy system to evaluate the mortgage.
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