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一个基于粒子群优化径向基神经网络参数的程序-A radial basis function neural network parameters based on particle swarm optimization program
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径向基神经网络（RBF网络）的三种学习算法实现：随机选取中心法、自组织选取中心和梯度训练算法-Three radial basis function neural network (RBF) learning algorithm: randomly selected center method, self-organizing selection center and gradient training algorithm
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使用RBF神经网络实现函数逼近，逼近的函数为y(k)=u(k)^3+y(k-1)/(1+y(k-1)^2).通过对该程序的学习及实现可以更好的了解径向基神经网络的结构及算法-RBF neural network function approximation, the approximation of the function y (k) = u (k) ^ 3+y (k-1)/(1+y (k-1) ^ 2) through the program to learn and achieve mor
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径向基函数RBF神经网络的Matlab实现代码-Radial basis function RBF neural network Matlab implementation code
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该程序为RBF径向基函数神经网络-PID控制的算法，可以供需要的人学习使用，用起来方便，稍加修改即可-The program RBF radial basis function neural network-PID control algorithm, for those who need to learn to use, easy to use them can be slightly modified
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基于径向基（rbf）神经网络的预测控制器设计中对神经网络进行聚类分析-Based on radial basis function (RBF) cluster analysis to the neural network forecast controller design of neural networks
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二维经验模态分解，采用形态学求极值点，径向基神经网络拟合，速度较快。-Two-dimensional empirical mode decomposition, using morphology for extreme points, radial basis function neural network fitting, faster.
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基于径向基函数的神经网络训练方法,数据源于爬取网络彩票数据，作为测试-Based on radial basis function neural network training methods, data from crawling lottery data networks, as a test
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基于聚类的径向基神经网络的设计算法，采用的是K均值聚类。实现函数拟合！-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting!
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利用径向基函数神经网络求解非线性函数逼近问题。-Using radial basis function (RBF) neural network to solve nonlinear function approximation problem.
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用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。-For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general underst
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把高斯基函数用matlab实现，方便以后对其的应用，可以应用到高斯径向基函数神经网络中,另外附加一份matlab中画图语句的指令说明-The Gaussian function using matlab facilitate its future application, can be applied to a Gaussian radial basis function neural network
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建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差-The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error
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Radial Basis Function Neural Network for Tanker Ship Heading Regulation
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径向基函数神经网络，资源分配神经网络，可以设计出结构最精简的径向基函数神经网络-Radial basis function neural network, resource allocation, neural network, we can design the most streamlined structure of radial basis function neural network
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BP网络和径向基函数拟合非线性函数效果对比-BP network and radial basis function fitting nonlinear function contrast effect
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径向基底函数类神经网络(RBFNN),辨识非线性数学模型,-Radial basis function neural network (RBFNN), identification of nonlinear mathematical model,
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径向基底函数类神经网络(RBFNN),加入RBFNN来调整最佳的PID控制-Radial basis function neural network (RBFNN), was added to adjust the optimum RBFNN PID control
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simulink高斯径向基函数神经网络的PID控制-simulink Gaussian radial basis function neural network PID control
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本程序实现的是径向基神经网络的非线性函数函数逼近功能。-The program implementation is a nonlinear function of radial basis function neural network function approximation.
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