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Dynamic Evolving Neuro-Fuzzy Inference System,
proposed by Song and Kasabov.
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球杆系统的模糊pid仿真程序，包含模糊推理系统和GUI界面
-Driver Fuzzy pid simulation program, including fuzzy inference system and GUI interface
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电液比例液压系统模糊控制器的设计，模糊推理系统作用下电液比例控制系统进行阶跃响应-Electro-hydraulic proportional hydraulic system, fuzzy controller, fuzzy inference system under the effect of electro-hydraulic proportional control system step response
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Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System
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基于Matlab的模糊自适应PID控制器仿真研究
传统PID在对象变化时，控制器的参数难以自动调整。将模糊控制与PID控制结合，利用模糊推理方法实现对PID参数的在线自整定。使控制器具有较好的自适应性。使用MATLAB对系统进行仿真，结果表明系统的动态性能得到了提高。-Fuzzy adaptive PID controller based on Matlab simulation
Traditional PID object changes, the controller paramet
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Adaptive Neuro-Fuzzy Inference System By Jang (ANFIS)
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MamLand 用 construct Mamdani fuzzy 干预系统法来评估滑坡持续过程。 -MamLand is designed specifically to construct Mamdani fuzzy inference system for the Landslide Susceptibility Assessment.
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本书从工程应用与实践的角度，对模糊推理与模糊控制系统作了深入浅出的介绍，并以多
个实例详细地介绍了模糊推理的学习及其在 matlab模糊逻辑工具箱中的实现，使得读者可以尽快地掌握模糊逻辑的内容与模糊控制的实现和使用。-Book from the point of view of engineering application and practice of fuzzy reasoning and fuzzy control system was introduced in simple te
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this package contain: five matlab function and one scr ipt.
XOX_OLS: is Common ols regression function that print out results just like Eviews Program.
XOX_PanelFix: is Common fix effect panel data regression function that print out results just
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本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。 -This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation
technique and adaptive neuro-fuzzy inference s
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数据聚类算法的一种K-means算法，可以用于模糊推理系统输入空间及规则数的确定-A data clustering algorithm K-means algorithm for fuzzy inference system of the input space and the number of rules to determine
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Fuzzy logic inference system
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被控对象为G(S)=400/（s*s+500s）,首先运行模糊控制器程序chap4_2.m,并将模糊推理系统保存在a2中，然后运行模糊控制SIMULIK程序。位置指令为0.5sin（10t）,simulink见chap4_3-Controlled object is G (S) = 400/(s* s+500s), first run the fuzzy controller program chap4_2.m, and stored in a2 fuzzy inference system,
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自适应网络模糊推论系统(ANFIS),产生输入输出变量的初始归属含数集合-Adaptive network fuzzy inference system (ANFIS), generating an initial ownership of the number of input and output variables containing the set
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利用simulink构造系统仿真模型
设计模糊逻辑规则
设计隶属函数
根据前面的隶属度函数、控制规则，利用Toolox\Fuzzy Logic中的模糊推理系统编辑器，建立模糊推理系统-System simulation model constructed utilizing simulink
Design of fuzzy logic rules
Design membership function
According to the previous membership
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MATLAB SOURCE CODE for Denoising of Ultra Sound signals using Adaptive Neuro fuzzy Inference System (ANFIS)
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Adaptive neuro fuzzy Inference system (ANFIS) for pattern recognition
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用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS struct
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自适应神经模糊推理系统的可运行实例，注释清楚易懂(Operable examples of adaptive neuro-fuzzy inference system)
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Fuzzy Inference system for tank
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