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完善网络结构将RBF网络的径向基换成小波函数，调整权值和公式的变更，可望在仿真真结构中添加非奇异项以验证小波网络的辨识精度与能力，输入层加权值进行调整~..~
-Improve the network structure of RBF network of radial basis replaced by a wavelet function, adjust the weights and the formula change is expected to add a non-singula
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径向基函数神经网络Matlab源代码,非常实用-Radial basis functions are use for function approximation and interpolation. This package supports two popular classes of rbf: Gaussian and Polyharmonic Splines (of which the Thin Plate Spline is a subclass).
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RBF径向基函数神经网络。8维并行输入，3维并行输出。-RBF network（Radial Basis Function ）with 8 dimensional parallel input, 3 dimensional parallel output.
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Matlab Functions for Radial Basis Function Networks
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Installation Instructions.
1. Unpack the distribution in some convenient folder.
2. Within this folder you will find a number of
subdirectories,
including
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高斯径向基函数神经网络RBFmatlab代码，提高非线性输入处理能力(Gauss radial basis function neural network RBFmatlab code to improve nonlinear input processing capability)
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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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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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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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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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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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