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/191902/8417385
m rbf_network.m
function [D, mu, Wo] = RBF_Network(train_features, train_targets, Nh, region)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% features- Train features
% t
www.eeworm.com/read/286662/8751670
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/286662/8751701
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/286662/8751914
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/285058/8872325
c romload.c
/* Copyright 2002-2003, ESS Technology, Inc. */
/* SCCSID @(#)romload.c 4.5.1.2 02/23/05 */
/*
* romload.c -
* 1) This tool creates a rom loader batch file with the
* correct bases for the
www.eeworm.com/read/182767/9192205
in configure.bat.in
@echo off
rem Configure batch file for `Wget' utility
rem Copyright (C) 1995, 1996, 1997 Free Software Foundation, Inc.
rem This program is free software; you can redistribute it and/or modify
rem it
www.eeworm.com/read/182767/9192217
bat configure.bat
@echo off
rem Configure batch file for `Wget' utility
rem Copyright (C) 1995, 1996, 1997 Free Software Foundation, Inc.
rem This program is free software; you can redistribute it and/or modify
r
www.eeworm.com/read/177129/9469009
m rbf_network.m
function [D, mu, Wo] = RBF_Network(train_features, train_targets, Nh, region)
% Classify using a backpropagation network with a batch learning algorithm
% Inputs:
% features- Train features
% t
www.eeworm.com/read/372113/9521098
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/372113/9521110
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