代码搜索:Best 开发教程

找到约 10,000 项符合「Best 开发教程」的源代码

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www.eeworm.com/read/127593/14348039

out art002.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
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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/227268/14435540

txt psoutfil.txt

May 13 test with old code (sliding Gbest) and Rnd Iter: 111 Best val: 7.49585959969323E-09 5/13/98 8:55:48 PM Dim. 1 Pos. -3.025822E-06 Dim.
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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/124842/14533736

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/124842/14533785

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
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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/224816/14567128

c pr.c

#include "genet.h" print_results() { int i,j; printf("\nfinal evaluation %9ld\n\n", pp[0]->eval); printf("best population:\n"); for (i = 0; i
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output

version 4.3, 26 Jan 1989 # Problem number 1 nsource 8 ndest 6 sources 12 7 6 11 10 4 4 3 dests 13 11 9 7 3 14 costs 1 3 8 11 4
www.eeworm.com/read/220834/14786964

out art002.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