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隶属函数型神经网与模糊控制融合的解耦程序-membership function neural network and fuzzy control of the integration process Decoupling
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为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to
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一种适用于模式分类的模糊粗隶属函数神经网络-One for pattern classification of fuzzy-rough membership function neural network
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模型辨识 模糊神经网络 T-S模型 输入输出
隶属度函数-Model Identification of TS Fuzzy Neural Network model input and output membership function
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TS的模糊神经网络程序,包括数据对比输出,网络均方差输出对比,隶属度函数对比-TS fuzzy neural network program, including the comparison of the data output, the network mean square output contrast, comparison of membership functions
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在MATLAB编程环境下进行模糊神经网络的方针程序,对参考输入进行前件选择,确定合适的模糊语言值核隶属度,然后进行合理的模糊推理确定后件参数。-In the MATLAB programming environment for fuzzy neural network approach procedure prior to the reference input to selection, to determine the appropriate value of core membership
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采用隶属函数型神经网与模糊控制融合的解耦方法(DMFFCNN)方法实现解耦控制,有文字说明和源代码-Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code
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第七章的模糊神经网络解耦MATLAB程序
例7.3 用隶属函数型神经网与模糊控制融合的解耦程序(FLch7FNNeg3.m)
是侯媛彬和汪梅的系统辨识课本上第七章的的实验。
-Chapter VII of the fuzzy neural network decoupling Example 7.3 with the MATLAB program membership function neural network and fuzzy control integration of t
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介绍模糊神经网络的程序,包括模糊化,隶属函数选择等。-Introduced fuzzy neural network procedures, including fuzzy membership function selection.
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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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基于RBF神经网络的模糊隶属度函数的参数学习算法
-Learning Algorithm of Parameters about Fuzzy Membership Functions Based on
the RBF Neural Network
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隶属函数型神经网与模糊控制融合的解耦程序 不错的源码-Membership function model of neural network with fuzzy control decoupling program source code
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隶属函数型神经网与模糊控制融合的解耦程序 不错的源码-Membership function model of neural network with fuzzy control decoupling program source code
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隶属函数型神经网与模糊控制融合的解耦程序 不错的源码(Membership function model of neural network with fuzzy control decoupling program source code)
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基于隶属度函数模糊CMAC神经网络算法,快速性、实时性好。(The fuzzy CMAC neural network algorithm based on membership function is fast and real-time.)
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