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/369334/2801806
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/369334/2801890
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/369334/2801948
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build frameworks lib for EZUSB FX2LP/FX1
REM #
REM #
www.eeworm.com/read/294565/8218188
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/370110/9617417
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/368127/9711020
bat register.bat
@echo off
:: Script for registering the Spelly addins
setlocal
if "%1"=="" echo This batch file registers the Spelly addins
set ttl="Spelly Installer"
set msgbox=cscript msgbox.vbs //nologo
www.eeworm.com/read/367746/9734602
bat build.bat
@echo off
REM #--------------------------------------------------------------------------
REM # File: BUILD.BAT
REM # Contents: Batch file to build EZ-USB FX2 firmware frameworks.
REM #
REM # Co
www.eeworm.com/read/415311/11077028
m perceptron_bvi.m
function D = Perceptron_BVI(train_features, train_targets, params, region)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% features - Train features
% targets
www.eeworm.com/read/415311/11077208
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent
www.eeworm.com/read/415311/11077264
m backpropagation_recurrent.m
function [D, Wh, Wo] = Backpropagation_Recurrent(train_features, train_targets, params, region)
% Classify using a backpropagation recurrent network with a batch learning algorithm
% Inputs:
% f