代码搜索：Approximation
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www.eeworm.com/read/428849/8834738
m contents.m
% Kernel feature extraction.
%
% gda - Generalized Discriminant Analysis.
% greedyappx - Kernel greedy data approximation.
% greedykpca - Greedy kernel PCA.
% kpca - Kernel Principal
www.eeworm.com/read/284304/8947596
txt 07-33.txt
>> syms x
>> g = exp(x*sin(x))
>> g = exp(x*sin(x));
>> t = taylor(g,12,2);
>> xd = 1:0.05:3; yd = subs(g,x,xd);
>> ezplot(t, [1,3]); hold on;
>> plot(xd, yd, '-.')
>> title('Tayl
www.eeworm.com/read/379733/9179921
changelog
Change History of NDFA Matlab package
-------------------------------------
This file contains a summary of all the changes since initial
released version 0.9.
ndfa-1.0.0 (2005- - )
--------------
www.eeworm.com/read/379733/9180010
m feedfw.m
function x = feedfw(s0, net, approximation)
% FEEDFW Do feedforward
%
% Usage:
% x = feedfw(s, net, approximation)
% where x will be a cell array with intermediate results
% from se
www.eeworm.com/read/181714/9240343
m eulers.m
function [x, y] = eulers(f, ab, y0, N)
% Compute approximation of the solution of the initial value
% problem y' = f(x,y), y(a) = y0 on the interval ab = [a,b].
% Euler's method with step lengt
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m adaptint.m
function [I, fcnt] = adaptint(f,a,b,tol)
% Integral of function f over interval [a,b]
% tol : desired absolute accuracy.
% fcnt: number of function evaluations
% Version 4.06.2004. INCBOX
%
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m example2_3_1.m
load leleccum; %装载信号
s=leleccum(1:3920);
ls=length(s);
[cA1,cD1]=dwt(s,'db1'); %采用db1基本小波来分解信号
A1=upcoef('a','cA1','db1',1,ls); %第三步中产生的系数cA1和cD1构造第一层的低频和高频（A1和D1）系数
D1=upcoef('d','cD1','db1',1,l
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m xnewgrnn.m
function xNewgrnn
% xNewgrnn.m
% 函数逼近(function approximation)--用函数NEWGRNN()和SIM()创建和仿真
% 普遍化回归神经网络(generalized regression neural network,GRNN)
%
% Author: HUANG Huajiang
% Copyright 2003 U
www.eeworm.com/read/376425/9317747
m xnewgrnn.m
function xNewgrnn
% xNewgrnn.m
% 函数逼近(function approximation)--用函数NEWGRNN()和SIM()创建和仿真
% 普遍化回归神经网络(generalized regression neural network,GRNN)
%
% Author: HUANG Huajiang
% Copyright 2003 U
www.eeworm.com/read/168455/9912322
m example2_3_1.m
load leleccum; %装载信号
s=leleccum(1:3920);
ls=length(s);
[cA1,cD1]=dwt(s,'db1'); %采用db1基本小波来分解信号
A1=upcoef('a','cA1','db1',1,ls); %第三步中产生的系数cA1和cD1构造第一层的低频和高频（A1和D1）系数
D1=upcoef('d','cD1','db1',1,l