代码搜索：classification

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www.eeworm.com/read/150905/12248413

m bpxnc.m

%BPXNC Back-propagation trained feed-forward neural net classifier % % [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each h
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www.eeworm.com/read/150760/12265832

m~ cerror.m~

function error=cerror(y1,y2,label) % CERROR Computes classification error. % % Synopsis: % error = cerror(y1,y2) % error = cerror(y1,y2,label) % % Description: % error = cerror(y1,y2) returns clas
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www.eeworm.com/read/150760/12265835

m cerror.m

function error=cerror(y1,y2,label) % CERROR Computes classification error. % % Synopsis: % error = cerror(ypred,ytrue) % error = cerror(ypred,ytrue,label) % % Description: % error = cerror(ypred,y
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www.eeworm.com/read/149739/12352771

m bpxnc.m

%BPXNC Back-propagation trained feed-forward neural net classifier % % [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each h
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www.eeworm.com/read/336314/12451564

m contents.m

% Neural Network Design Demonstrations. % Copyright (c) 1994 by PWS Publishing Company. % % General % nnd - Splash screen. % nndtoc - Table of contents. % nnsound - Turn Neural Net
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www.eeworm.com/read/234209/14119442

m codice_b.m

% % In order to obtain a simple and effective source code for % Fingerprint Recognition System please visit % http://utenti.lycos.it/matlab/beginner.htm % % There you will be able to make a sma
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www.eeworm.com/read/130698/14177598

m contents.m

% Neural Network Design Demonstrations. % Copyright (c) 1994 by PWS Publishing Company. % % General % nnd - Splash screen. % nndtoc - Table of contents. % nnsound - Turn Neural Net
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www.eeworm.com/read/130671/14179011

m softmargin.m

function y = softmargin(x) %SOFTMARGIN Support Vector Classification Softmargin % % Usage: y = softmargin(x) % % Author: Steve Gunn (srg@ecs.soton.ac.uk) if (nargin ~= 1) % check correct number o
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www.eeworm.com/read/130548/14187207

readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-S
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www.eeworm.com/read/130490/14190114

1 select_ifile.1

.\"Generated by db2man.xsl. Don't modify this, modify the source. .de Sh \" Subsection .br .if t .Sp .ne 5 .PP \fB\\$1\fR .PP .. .de Sp \" Vertical space (when we can't use .PP) .if t .sp .5v .if n .s
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