代码搜索：BATCH
找到约 6,125 项符合「BATCH」的源代码
代码结果 6,125
www.eeworm.com/read/351176/10676055
m flexica.m
%
%
% flexica.m
%
% seungjin@postech.ac.kr
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% Last updated:
% February 6, 2003
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% function for batch version of flexible ICA
%
% function [W]=flexica(x,n,nb,ga_W,maxits)
%
% W:
www.eeworm.com/read/421862/10685015
txt callerid.txt
The cab file for your application has been built as 'D:\Software\VB\CallerID_SYSTEM\Package\CallerID.CAB'.
There is also a batch file in the support directory (D:\Software\VB\CallerID_SYSTEM\Packag
www.eeworm.com/read/458002/7314351
txt library managment system.txt
The cab file for your application has been built as 'C:\Setup\LMS.CAB'.
There is also a batch file in the support directory (C:\Setup\Support\LMS.BAT) that will allow you to recreate the cab file i
www.eeworm.com/read/444787/7607181
txt readme.txt
Everything you need should be in the tool chain.zip file.
The file consists of various GNU tools, the MIPS communication server and some batch files to build and run programs for you.
build.bat
www.eeworm.com/read/436226/7775027
txt basiccomm.txt
The cab file for your application has been built as 'C:\PROJ\Visual Basic\comm test\Package\BasicComm.CAB'.
There is also a batch file in the support directory (C:\PROJ\Visual Basic\comm test\Packa
www.eeworm.com/read/399996/7816708
m optimal_brain_surgeon.m
function [test_targets, Wh, Wo, J] = Optimal_Brain_Surgeon(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and remov
www.eeworm.com/read/399996/7816749
m relaxation_bm.m
function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params)
% Classify using the batch relaxation with margin algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/198946/7903208
txt linuxrealtime.txt
LINUX REALTIME AUDIO PLAYBACK
Thomas M. Sailer
sailer@ife.ee.ethz.ch
Typical Unix schedulers go to great lengths to allow batch processing jobs
to run on a machine while still p
www.eeworm.com/read/397099/8068799
m optimal_brain_surgeon.m
function [test_targets, Wh, Wo, J] = Optimal_Brain_Surgeon(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and remov
www.eeworm.com/read/397099/8068814
m relaxation_bm.m
function [test_targets, a] = Relaxation_BM(train_patterns, train_targets, test_patterns, params)
% Classify using the batch relaxation with margin algorithm
% Inputs:
% train_patterns - Train pa