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2下载：
实现无网格法中径向基形函数，基于《无网格法理论及程序设计》-Achieved Meshfree radial basis function
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给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形-The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic
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PID Control Based on RBF Neural Network for Ship Steering-A PID control combined with Radial Basis Function (RBF) neural network was proposed for course control of ship
steering.
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使用支持向量机对数据进行非线性分类，通过修改核函数径向基函数的参数来做模型-Using support vector machine (SVM) to nonlinear classification of data, by modifying the parameter of kernel function of radial basis function model
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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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主要是BP神经网络的MATLAB实现程序代码，包括感应器神经网络、线性网络、BP神经网络、径向基函数网络。-Mainly MATLAB BP neural network to achieve the program code, including sensors neural networks, linear network, BP neural network, radial basis function networks
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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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Online INS/GPS Integration with a
Radial Basis Function Neural Network-Online INS/GPS Integration with a
Radial Basis Function Neural Network
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为严格(Exact)径向基网络来实现非线性的函数回归-Strict (Exact) radial basis function network to achieve nonlinear regression
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用于翼型结构化网格的网格变形程序，采用径向基函数方法，容易拓展到三维。-grid deforming program for airfoil structured grid, based on radial basis function method, easily extended to three-dimensional.
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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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这个是基于PSO粒子群算法的RBF径向基网络-This is based on particle swarm optimization PSO RBF radial basis function network
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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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GA，即遗传算法；RBF，径向基函数神经网络。本程序介绍了通过遗传算法来优化RBF神经网络的参数值，从而达到更好的进行模式识别。-GA, namely genetic algorithms RBF, radial basis function neural networks. This procedure describes the parameters to optimize the RBF neural networks by genetic algorithms to achieve b
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利用BP神经网络与RBF（径向基函数）网络对三类目标（W.zip, T.zip, B.zip）进行分类.-BP neural network and RBF (Radial Basis Function) network on three targets (W.zip, T.zip, B.zip) classification.
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RBF神经网络：rbf原理：所谓径向基函数(Radial Basis Function 简称 RBF），就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数，可记作 k(||x-xc||），其作用往往是局部的，即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数，形式为 k(||x-xc||)=exp{- ||x-xc||^2/（2*σ）^2） } 其中xc为核函数中心，σ为函数的宽度参数，控制了函数的径向作用范围。在RBF网络中，这两个参数往往是可
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