代码搜索:Algorithm

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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initializega.m Initialization function for float and binary % repres
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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]=... %
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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]=... %
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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
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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
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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]=...
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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
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readme

C Code From Graphics Gems III, Academic Press, Inc. ================================================== This is a list of the files and directories containing the C code for Graphics Gem
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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
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initialize.m Initialization function Used by ga.m % % Operators used during simulated