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神经网络学习二维非线性函数 ,多维非线性辨识的MATLAB程序-neural network learning 2D nonlinear function, multi-dimensional nonlinear identification procedures MATLAB
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多维非线性辨识的MATLAB程序（用神经网络学习二维非线性函数）-multidimensional nonlinear identification MATLAB (using neural networks to learn two-dimensional nonlinear function)
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This paper presents various applications of a nonlinear
adaptive notch filter which operates based on the concept
of an enhanced phase-locked loop (PLL). Applications of the filter
for online signal analysis for power systems protection, control a
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本文主要研究利用神经网络进行非线性辨识及自适应控制。
-This paper studied the feasibility of using neural network nonlinear identification and adaptive control.
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The subject of this book covers three different specific academic areas:
Nonlinear systems, adaptive filtering and system identification.
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nonlinear system identification using neural networks on matlab
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OgunfunmT.Adaptive nonlinear system identification
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hilbert-huang 变换中EMD(经验模态分解)方法对非线性信号的分析，固定模态分量及瞬时频率计算-hilbert-huang transform EMD (Empirical Mode Decomposition) method of nonlinear signal analysis, the fixed component and the instantaneous modal frequency counter
Operator
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基于CMAC的非线性系统动态辨识，选并联辨识的机构-Based on the CMAC nonlinear system dynamic identification, chooses the parallel identification the organization
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基于Elman网络的非线性系统辨识，选并联辨识结构-Based on the Elman network nonlinear system identification, chooses the parallel identification structure
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基于Hopfield网络的非线性系统辨识，含６个神经元-Based on Hopfield network nonlinear system identification, including 6 neurons
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关于神经网络非线性系统的辨识，模糊控制器等程序。-With regard to neural network, nonlinear system identification, fuzzy controller and other procedures.
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【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦M
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Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat,
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这是一个用matlab编写的，基于CAMC，pid神经网络的非线性系统识别程序，能够很好的识别非线性系统-Based on CAMC/PID Nonlinear System Identification
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在MATLAB运行环境下，基于支持向量机的非线性系统辨识程序！-Run in the MATLAB environment, based on support vector machines for nonlinear system identification procedure!
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This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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Methods for limitation and elimination of disturbances and harmonic pollution in the power system have been widely investigated. This problem rapidly intensifies with the increasing amount of electronic equipment (computers, radio set, printers, TV
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基于神经网络在线辨识的自适应逆振动控制技术。可以有效地应用到非线性系统的控制。-Line identification based on neural network adaptive inverse vibration control technology. Can be effectively applied to nonlinear system control.
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this paper is about identification sys s
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