搜索资源列表
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自己编写RBF神经网络程序,RBF神经网络隐层采用标准Gaussian径向基函数,输出层采用线性激活函数,其中数据中心、扩展常数和输出权值均用梯度法求解,它们的学习率均为0.001。其中隐节点数选为10,初始输出权值取[-0.1,0.1]内的随机值,初始数据中心取[-1,1]内的随机值,初始扩展常数取[0.1,0.3]内的随机值,输入采用[0 1]的随机阶跃输入(Write your own RBF neural network, RBF neural network hidden layer
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基于RBF径向基网络的pid参数整定s函数程序(PID parameter tuning s function program based on RBF radial basis function network)
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SVM Light工具箱 Matlab接口,已经编译好,可直接用(SVMlight, by Joachims, is one of the most widely used SVM classification and regression package. It has a fast optimization algorithm, can be applied to very large datasets, and has a very efficient implementation of
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严格(Exact)径向基网络来实现非线性的函数回归(Nonlinear function regression for strict (Exact) radial basis function networks)
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在神经网络中使用径向基算法进行对函数拟合(Radial basis function fitting)
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In this letter, we propose a new compression method for a
high dimensional support vector machine (SVM). We used
singular value decomposition (SVD) to compress the norm part
of a radial basis function SVM. By deleting the least significant
vector
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programs of radial basis function in MATLAB
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支持向量机由Vapnik首先提出,像多层感知器网络和径向基函数网络一样,支持向量机可用于模式分类和非线性回归,该程序主要实现svm的分类和回归功能。(SVM was first proposed by Vapnik. Like multilayer sensor network and radial basis function network, SVM can be used for pattern classification and non-linear regression. The p
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基于MATLAB的径向基函数神经网络的原理及算例程序(The principle of radial basis function neural network and an example program)
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基于RBF径向基函数神经网络的PID在线整定,里边的目标函数可自行修改(Based on RBF Radial Basis Function Neural Network PID online tuning, the inside of the objective function can be modified)
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感应器神经网络、线性网络、BP神经网络、径向基函数网络(Sensor neural network, linear network, BP neural network, radial basis function network)
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RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
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Simulates and trains Gaussian and polyharmonic spline radial basis function networks.
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Radial Basis Function with K Mean Clustering using Pseudo inverse method
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scipy_uspline.py: 使用UnivariateSpline进行插值、外推和Spline拟合;
scipy_stats.py: 演示stats模块的概率密度函数、直方图统计和累积分布函数。
scipy_rbf.py: 演示径向基函数(radial basis function, 简称RBF)插值算法。
scipy_fsolve.py: 使用fsolve()计算非线性方程组的解。
numpy_polyfit.py:使用多项式函数拟合正弦波,并显示拟合误差。(scipy_uspl
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SMO 优化算法 径向基核函数 代码加数据 实例 机器学习实战第六章代码(SMO optimization algorithm radial basis function)
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Radial Basis Function Network using K-means algorithm
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径向基函数神经网络示例程序1
径向基函数神经网络示例程序2(An example program of radial basis function neural network)
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径向基函数插值使用一系列基函数,它们在每个采样点对称且居中。径向基函数是一类特殊的函数,其主要特征是它们的响应与中心点的距离单调地减小(或增加)。中心、距离刻度和精确的形状是模型的参数。(Radial Basis Function interpolation with biharmonic, multiquadric, inverse multiquadric, thin plate spline, and Gaussian basis functions for Matlab/Octave.
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用径向基函数自适应求解burgers 方程(Adaptive residual subsampling methods for radial basis function
interpolation and collocation problems)
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