搜索资源列表
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径向基网络的matlab编程代码,可以快速建立该类问题的模型并精确求解-Radial Basis Function Network matlab programming code, you can quickly build the class model and exact solving
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RBF optimization with genetic algorithm(article4)
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ga遗传算法,遗传算法优化径向基神经网络-ga genetic algorithm, genetic algorithm optimized radial basis function neural network
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matlab 通用神经网络代码,感应器神经网络、线性网络、BP神经网络、径向基函数网络-matlab generic neural network code, sensors, neural networks, linear network, BP neural network, radial basis function network
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基于RBF的神经网络,将径向基神经网络与传统PID相结合-Based on RBF neural network, radial basis function neural network with the traditional PID combination of
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RBFN Radial basis function networks- RBFN Radial basis function networks
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2d/3d radial basis function rdf interpolation
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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曲线-The establishment of a radial basis function neural network to approximate the nonlinear function y = sqrt (x), and make the network approximation error curve
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使用newrb函数创建一个径向基网络实现函数拟合-To use newrb function to create a radial basis function network function fitting
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in this mfile u see stlf by rb function,stlf means short term load forcasting by nerual network radial basis function
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将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型使用径向基函数(RBF))作为核函数,运用格雷码编码方式对SVM算法的模型参数进行遗传编码与优化搜索,,将搜索到的优化结果作为SVM 的最终模型参数。
-Genetic algorithm (GA) combined with the traditional SVM algorithm to construct a parameter of the evolution of the optim
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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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径向基函数网络matlab代码
Mark J,L, O-Matlab Functions for Radial Basis Function Networks
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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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基于径向基函数网络即RBF网络的分类识别程序-Based on the radial basis function network RBF network classification and recognition program
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This contains the genetic algorithm permutation and radial basis function
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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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神经网络中径向基函数神经元模型,包括径向基函数的构建与相应的网络测试-Radial basis function neural network neuron model, including radial basis function network test
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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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xor implementation using radial basis function
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