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
代码结果 10,000
www.eeworm.com/read/431300/8689704
iddata
SLPM-65763007 Goldeneye - Rogue AgentNTSC-J
SLPM-6026510th Anniversary PlayStation & PlayStation 2 All-Soft Catalogue Special SaveData Collection [PS2 Disc]NTSC-J
SLPM-65843120-en no Haru - 120yen S
www.eeworm.com/read/386978/8714855
m main.m
timebegin=cputime;
%初始化定义全局变量
global customer;
global depot;
global demand;
global bestx;
global bestl;
global bestSC;
global best_iter;
global UD;
global c;
global cm;
global h;
global A
www.eeworm.com/read/286662/8751964
m genetic_culling.m
function [patterns, targets, pattern_numbers] = genetic_culling(patterns, targets, params)
% Culling type genetic algorithm for feature selection
%
% Inputs:
% train_patterns - Input patterns
%
www.eeworm.com/read/386014/8771580
cpp packtree_int.cpp
/** \file
The documentation in this file is formatted for doxygen
(see www.doxyeng.org).
Copyright and Use
You may use this source code without limitation and w
www.eeworm.com/read/429504/8804761
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/428451/8867190
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/427586/8931923
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/185639/8994729
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/185639/8994735
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/283560/9006971
c inet_ntop.c
/*
eXosip - This is the eXtended osip library.
Copyright (C) 2002,2003,2004,2005,2006,2007 Aymeric MOIZARD - jack@atosc.org
eXosip is free software; you can redistribute it and/or modify