代码搜索：Best 开发教程
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www.eeworm.com/read/220834/14786971
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/119681/14824435
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/119508/14827586
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
www.eeworm.com/read/119508/14827595
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/119282/14834467
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
www.eeworm.com/read/119282/14834470
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/118934/14847534
-¦
VERSION 5.00
Begin VB.Form ExpressionForm
Caption = "Expression"
ClientHeight = 2310
ClientLeft = 1380
ClientTop = 2100
ClientWidth = 6615
LinkTopic = "Form1"
PaletteMode = 1 'UseZOrder
Scale
www.eeworm.com/read/217049/14980984
c wmenu.c
/* CXL - Copyright (c) 1987-1989 by Mike Smedley - All Rights Reserved */
/* WMENU.C - wmenubeg() starts a menu definition
wmenuitem() defines a menu item
wmen
www.eeworm.com/read/115861/14999034
c alistat_main.c
/*****************************************************************
* HMMER - Biological sequence analysis with profile HMMs
* Copyright (C) 1992-1999 Washington University School of Medicine
* All
www.eeworm.com/read/214923/15082909
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