代码搜索:Learning
找到约 5,352 项符合「Learning」的源代码
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www.eeworm.com/read/259886/11760058
m mywblf.m
function [dw,ls] = mywblf(w,p,z,n,a,t,e,gW,gA,d,lp,ls)
%MYWBLF Example custom weight and bias learning function.
%
% Calculation Syntax
%
% [dW,LS] = mywblf(W,P,Z,N,A,T,E,gW,gA,D,LP,LS)
www.eeworm.com/read/253950/12174110
htm somtrain.htm
Netlab Reference Manual somtrain
somtrain
Purpose
Kohonen training algorithm for SOM.
Synopsis
net = somtrain{
www.eeworm.com/read/253950/12174209
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba
www.eeworm.com/read/340031/12186769
bbl images.bbl
\hyphenation{Post-script Sprin-ger}
\begin{thebibliography}{OFG97b}
\bibitem[BS97]{bernhard}
C.~Burges and B.~Sch\"olkopf.
\newblock Improving the accuracy and speed of support vector machines.
\newb
www.eeworm.com/read/339665/12211855
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba
www.eeworm.com/read/150905/12250280
htm somtrain.htm
Netlab Reference Manual somtrain
somtrain
Purpose
Kohonen training algorithm for SOM.
Synopsis
net = somtrain{
www.eeworm.com/read/150905/12250630
m somtrain.m
function net = somtrain(net, options, x)
%SOMTRAIN Kohonen training algorithm for SOM.
%
% Description
% NET = SOMTRAIN{NET, OPTIONS, X) uses Kohonen's algorithm to train a
% SOM. Both on-line and ba
www.eeworm.com/read/128468/14295396
m contents.m
% Statistical Pattern Recognition Toolbox.
%
% Contents
%
% bayes - (dir) Bayes classification.
% datasets - (dir) Functions for handling with data sets.
% generalp - (dir) General purpose
www.eeworm.com/read/128468/14295407
m contents.m
% Unsupervised statistical learning methods.
%
% unsudemo - Demo of unsupervised learning methods for 2D feature space.
%
% mln - Compute value of logarihm of the likelihood function.
www.eeworm.com/read/221024/14764227
edu^users^sowmya^ http:^^www.cs.utexas.edu^users^sowmya^
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Sowmya Ramachandran