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/296774/7113461
com vmsconfig.com
$ !
$ ! Set up to compile GCC on VAX/VMS
$ !
$! Set the def dir to proper place for use in batch. Works for interactive too.
$flnm = f$enviroment("PROCEDURE") ! get current procedure name
$set def
www.eeworm.com/read/440433/7689450
m backpropagation_quickprop.m
function [test_targets, Wh, Wo, J] = Backpropagation_Quickprop(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and q
www.eeworm.com/read/438786/7727019
bat lcp.bat
REM Copyright (c) 2001-2002 The Apache Software Foundation. All rights
REM reserved.
REM Adapted from Apache batch script
set _CLASSPATHCOMPONENT=%1
if ""%1""=="""" goto gotAllArgs
shift
www.eeworm.com/read/399996/7816609
m perceptron_bvi.m
function [test_targets, a] = Perceptron_BVI(train_patterns, train_targets, test_patterns, params)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% train_patterns -
www.eeworm.com/read/399996/7816643
m backpropagation_quickprop.m
function [test_targets, Wh, Wo, J] = Backpropagation_Quickprop(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and q
www.eeworm.com/read/399996/7816948
m backpropagation_cgd.m
function [test_targets, Wh, Wo, errors] = Backpropagation_CGD(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and co
www.eeworm.com/read/299228/7873032
bat configure.bat
@echo off
rem Configure batch file for `Wget' utility
rem Copyright (C) 1995, 1996, 1997, 2007, 2008 Free Software Foundation, Inc.
rem This program is free software; you can redistribute it and/
www.eeworm.com/read/297233/8037648
com vmsconfig.com
$ !
$ ! Set up to compile GCC on VMS.
$ !
$! Set the def dir to proper place for use in batch. Works for interactive too.
$flnm = f$enviroment("PROCEDURE") ! get current procedure name
$set defaul
www.eeworm.com/read/397099/8068745
m perceptron_bvi.m
function [test_targets, a] = Perceptron_BVI(train_patterns, train_targets, test_patterns, params)
% Classify using the batch variable increment Perceptron algorithm
% Inputs:
% train_patterns -
www.eeworm.com/read/397099/8068772
m backpropagation_quickprop.m
function [test_targets, Wh, Wo, J] = Backpropagation_Quickprop(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and q