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www.eeworm.com/read/159921/10588467
m perceptr.m
function [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
% PERCEPTR Perceptron learning rule searching for decision hyperplane.
% [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
%
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m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/351900/10597538
txt readme.txt
This package contains the source code for implementating des algorithm and a demostration for how to use the source code.
These codes are protected by GPL. Refer to f
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txt readme.txt
rijndaelvb.zip
The enclosed VB project includes a VB class that implements the Rijndael AES block encryption algorithm. The form in the project runs some test data through the class.
The rijndae
www.eeworm.com/read/159601/10634646
txt readme.txt
Tree Structured Genetic Algorithm
An algorithm for Genetic Programming
Ben.McKay & Mark Willis
(c)
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htm index~1.htm
Genetic Algorithm Optimization Toolbox
Genetic Algorithm Optimization Toolbox (GAOT)
GAOT implements simulated evolution i
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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 simu
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htm gaotin~1.htm
Genetic Algorithm Optimization Toolbox (GAOT)
The following files are in the distribution:
Main interface
ga.m
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m mmln.m
function [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N)
% MMLN Minimax learning for Gaussian distribution.
% [mi,sigma,solution,minp,topp,N,t]=mmln(X,epsilon,tmax,t,N)
%
% MMLN implem
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h sha1.h
/*
* SHA1.h
*
* Description:
* This is the header file for code which implements the Secure
* Hashing Algorithm 1 as defined in FIPS PUB 180-1 published
* April 17, 1995