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Algorithm 的代码
llk_algorithm.h
#ifndef __LLK_ALGORITHM_H
#define __LLK_ALGORITHM_H
#include
#include
#include
#define ALGORITHM_GAME_STOP 1
#define ALGORITHM_GAME_RUN 2
#define ALGORITHM_GAME_PAUS
llk_algorithm.c
#include "llk_algorithm.h"
gboolean
algorithm_game_init(void)
{
gint i,j;
algorithm_game.difficulty = 0;
algorithm_game.level = 0;
algorithm_game.life = 0;
algorithm_game.hint = 0;
algor
genetic_algorithm.m
function test_targets = Genetic_Algorithm(train_patterns, train_targets, test_patterns, params)
% Classify using a basic genetic algorithm
% Inputs:
% training_patterns - Train patterns
% tra
genetic_algorithm.m
function test_targets = Genetic_Algorithm(train_patterns, train_targets, test_patterns, params)
% Classify using a basic genetic algorithm
% Inputs:
% training_patterns - Train patterns
% tra
k_algorithm.c
#include
#include
#include
#include
int vectornum;
int vectorsize;
float * datafield;
float * tempcenter;
struct GROUP
{
gp_algorithm.m
function D=GP_Algorithm(data,tau,max_m)
% GP算法求关联维和嵌入维
%clc
%---------------------------------------------------
x=data;
X = normalize_1(x);
%---------------------------------------------------'
dis
smo_algorithm.m
function outPutPar = SMO_algorithm(class_one,class_two,kPar,C)
% the function for generating the two_class based classification
% InputPar:
% class_one: the first class data;
% class_two: the second c
algorithm.html,v
head 1.1;
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comment @# @;
1.1
date 2005.06.05.06.30.31; author picone; state Exp;
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@updated links for the new CAVS web site.
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1.1
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