代码搜索：Algorithm
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www.eeworm.com/read/131588/14136226
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/130950/14166643
cpp illustration.cpp
void illustration()
{
printf("Illustration:\n\n");
printf("From the statistics above ,the conclusion is that though the Quicksort is deemedas one of the most optimal algorithm in sorting .it isn'
www.eeworm.com/read/129915/14217659
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/230549/14281933
m contents.m
% Genetic Optimization Toolbox
%
% Main interface
% ga.m The Genetic Algorithm
% initializega.m Initialization function for float and binary
% repres
www.eeworm.com/read/128527/14292072
txt readme.txt
This version modified by Phil Frisbie for use with HawkVoice. It has
also been modified slightly for speed.
This directory contains version 1.2 of a simple 16 bit PCM 4 bit
ADPCM coder and
www.eeworm.com/read/128468/14295634
m ganders.m
function [alpha,theta,solution,minr,t,maxerr]=...
ganders(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GANDERS algorithm solving Generalized Anderson's task.
% [alpha,theta,solution,minr,t,maxerr]=...
%
www.eeworm.com/read/128468/14295639
m gganders.m
function [alpha,theta,solution,minr,t,maxerr]=...
gganders(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GGANDERS solves Generalized Anderson's task, generalized gradient.
% [alpha,theta,solution,minr,t,m
www.eeworm.com/read/128468/14295663
m gganders2.m
function [alpha,theta,solution,minr,t,maxerr]=...
gganders2(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GGANDERS2 solves Generalized Anderson's task, generalized gradient.
% [alpha,theta,solution,minr,t
www.eeworm.com/read/128468/14295666
m ganders2.m
function [alpha,theta,solution,minr,t,maxerr]=...
ganders2(MI,SG,J,tmax,stopCond,t,alpha,theta)
% GANDERS2 algorithm solving Generalized Anderson's task.
% [alpha,theta,solution,minr,t,maxerr]=...
www.eeworm.com/read/128468/14295690
m fisherp.m
function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas)
% FISHERP learns the Fisher classifier using Perceptron rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERP This algorithm f