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Algorithm 的代码
ratedematch.m
function y = RateDematch( x, X_i, e_ini, e_plus, e_minus );
% RateDematch reverses the basic UMTS/HSDPA Rate Matching algorithm
%
% The calling syntax is:
% y = RateDematch( x, X_i, e_ini, e_p
ratematch.m
function y = RateMatch( x, X_i, e_ini, e_plus, e_minus )
% RateMatch performs the basic UMTS/HSDPA Rate Matching algorithm
%
% The calling syntax is:
% y = RateMatch( x, X_i, e_ini, e_plus, e_
readme.txt
Tree Structured Genetic Algorithm
An algorithm for Genetic Programming
Ben.McKay & Mark Willis
(c)
index~1.htm
Genetic Algorithm Optimization Toolbox
Genetic Algorithm Optimization Toolbox (GAOT)
GAOT implements simulated evolution i
contents.m
% Genetic Optimization Toolbox
%
% Main interface
% ga.m The Genetic Algorithm
% initialize.m Initialization function Used by ga.m
%
% Operators used during simu
gaotin~1.htm
Genetic Algorithm Optimization Toolbox (GAOT)
The following files are in the distribution:
Main interface
ga.m
soj2813过河.cpp
#include
#include
using namespace std;
int zuiyou(int a[],int n)
{
if(n==1)
return a[0];
else if(n==2)
return a[1];
else if(n==3)
22_02_2004_results.txt
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running adaBoost algorithm
step numbers: 900
Test error cycle result: 0.445000
Train error cycle result: 0.753750
run getError
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5
toa.m
% This function calculates Tag's position using Least square Algorithm
function [Error] = toa(AP, Tag, time_dur, light_speed)
L = time_dur .* light_speed;
n = length(AP);
% Here we use LEAST S
contents.m
% contents.m
%
% This directory contains a example files that illustrates
% some of the algorithm developed in the toolsvm or toolreg
%
% File | Comments
%