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www.eeworm.com/read/159310/10670805
out art001.out
BEST NEURON:0
IN: 1 1 1 1 0 0 1 0 0 1 0 0 1 1 1
OUT: 1 1 1 1 0 0 1 0 0 1 0 0 1 1 1
Top Down weights:
1 1 1 1 0 0 1 0 0 1 0 0 1 1 1
Bottom up weights:
0.200000 0.200000 0.200000 0.20000
www.eeworm.com/read/421949/10676031
m trimmedmse.m
function [cost,retained] = trimmedmse(R,beta,V);
% Calculate trimmed mean of the squared value of the residuals.
%
% cost = trimmedmse(R);
%
% The factor where one trimms off the normed residuals is
www.eeworm.com/read/276954/10692203
save test5.save
------------------------------------------------------------
kmltest: KMlocal (k-means clustering by local search)
Version: 1.7 (Use at your own risk)
Copyright: David M. Mount.
Latest Rev
www.eeworm.com/read/276954/10692250
save test6.save
------------------------------------------------------------
kmltest: KMlocal (k-means clustering by local search)
Version: 1.7 (Use at your own risk)
Copyright: David M. Mount.
Latest Rev
www.eeworm.com/read/276954/10692295
save test4.save
------------------------------------------------------------
kmltest: KMlocal (k-means clustering by local search)
Version: 1.7 (Use at your own risk)
Copyright: David M. Mount.
Latest Rev
www.eeworm.com/read/349916/10781962
c evaluate.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: evalua
www.eeworm.com/read/349916/10782034
c elitist.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: elitis
www.eeworm.com/read/349916/10782132
c select.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: select
www.eeworm.com/read/349916/10782773
m select6.m
function [out,coefs,pin,best,bestpin]=select6(chrom,d,x,y,s1,s2,s3,best,bestpin)
%
% out=select(in);
%
% selects a new population
%
%
%
% Mix up the population
%
chrom=shuffle(chrom);
%
www.eeworm.com/read/348596/10882482
txt 2291.txt
#include"iostream.h"
#include"algorithm"
using namespace std;
int l[1000],n;
int main()
{
int t,i,best;
cin>>t;
while(t--)
{
cin>>n;
for(i=0;i>l[i];
sort(l,