代码搜索：rbf
找到约 2,329 项符合「rbf」的源代码
代码结果 2,329
www.eeworm.com/read/391570/8396905
m rbf.m
p=[0.045036 0.108780 0.128584 0.009097 0.000000;
0.119754 0.646052 0.279757 0.176645 0.030556;
0.017400 0.009939 0.005213 0.023694 0.727778;
0.148414 0.657096 0.384014 0.182991 0.000000;
www.eeworm.com/read/391555/8397300
m rbf.m
p =[0.5000 0.5000 0.5000 0.6000 0.1000 0.7000 0.7000 0.9000 0.7000 0.3000 0.1000 0.2000 0.5000
0.5949 0.9000 0.4975 0.5916 0.1815 0.2498 0.3455 0.3751 0.1634 0.1629 0.1405 0.1000 0.1465
0.1
www.eeworm.com/read/192078/8408363
m rbf.m
%RBF Radial Basis Function algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% dim - iterations
% Nneur - number of neurons
% Sx - standard deviation
www.eeworm.com/read/190387/8444270
m rbf.m
function w = rbf(x, t, d, sigma, lam)
% function w = rbf(x,t,d,sigma,lam)
%
% Determines weights for a regularized radial basis function network.
%
% x - data
% t - centers
% d - de
www.eeworm.com/read/289680/8535024
m rbf.m
function ker = rbf(arg)
% RBF
%
% Construct a Gaussian radial basis function (RBF) kernel object,
%
% K(x1, x2) = exp(-gamma.*sum((x1 - x2).^2))
%
% Examples:
%
% % default constructo
www.eeworm.com/read/389274/8536996
m rbf.m
function ker = rbf(arg)
if nargin == 0
% this is the default constructor
ker.gamma = 1;
ker = class(ker, 'rbf');
elseif isa(arg, 'rbf');
% this is the
www.eeworm.com/read/188280/8552165
m rbf.m
function ker = rbf(arg)
% RBF
%
% Construct a Gaussian radial basis function (RBF) kernel object,
%
% K(x1, x2) = exp(-gamma.*sum((x1 - x2).^2))
%
% Examples:
%
% % default constructo
www.eeworm.com/read/386030/8770752
m rbf.m
%=====================RBF网络动态设计方法=====================
clc;
clear all;
% 产生训练样本
Sample_N = 100; % 样本数
X = -4+8*rand(Sample_N,1); % 服从区间(-4,4)内均匀分布的训练样本
Y1 = 1.1*(1-X+2*(X.^2)).*exp(-(X.^2
www.eeworm.com/read/429878/8784126
htm rbf.htm
Netlab Reference Manual rbf
rbf
Purpose
Creates an RBF network with specified architecture
Synopsis
net = rbf(
www.eeworm.com/read/183443/9158858
m rbf.m
function ker = rbf(arg)
% RBF
%
% Construct a Gaussian radial basis function (RBF) kernel object,
%
% K(x1, x2) = exp(-gamma.*sum((x1 - x2).^2))
%
% Examples:
%
% % default constructo