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/298626/7949100

m batch1.m

make_rp; rp.T = 2.9; rp.name = 'run11'; run_qrd_lsl(rp); rp.T = 3.1; rp.name = 'run12'; run_qrd_lsl(rp); rp.T = 3.3; rp.name = 'run13'; run_qrd_lsl(rp); rp.T = 3.5; rp.name = 'run14'; run_qrd_lsl(rp)
www.eeworm.com/read/298626/7949113

m batch2.m

make_rp; rp.T = 2.9; rp.name = 'run11'; run_qrd_lsl(rp); rp.T = 3.1; rp.name = 'run12'; run_qrd_lsl(rp); rp.T = 3.3; rp.name = 'run13'; run_qrd_lsl(rp); rp.T = 3.5; rp.name = 'run14'; run_qrd_lsl(rp)
www.eeworm.com/read/397099/8068736

m backpropagation_batch.m

function [test_targets, Wh, Wo, J] = Backpropagation_Batch(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation network with a batch learning algorithm % Inputs
www.eeworm.com/read/397099/8068779

m perceptron_batch.m

function [test_targets, a, updates] = Perceptron_Batch(train_patterns, train_targets, test_patterns, params) % Classify using the batch Perceptron algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/296408/8105092

asp admin_batch.asp

www.eeworm.com/read/245941/12770746

m backpropagation_batch.m

function [test_targets, Wh, Wo, J] = Backpropagation_Batch(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation network with a batch learning algorithm % Inputs
www.eeworm.com/read/245941/12770798

m perceptron_batch.m

function [test_targets, a, updates] = Perceptron_Batch(train_patterns, train_targets, test_patterns, params) % Classify using the batch Perceptron algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/330850/12864713

m backpropagation_batch.m

function [test_targets, Wh, Wo, J] = Backpropagation_Batch(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation network with a batch learning algorithm % Inputs
www.eeworm.com/read/330850/12864796

m perceptron_batch.m

function [test_targets, a, updates] = Perceptron_Batch(train_patterns, train_targets, test_patterns, params) % Classify using the batch Perceptron algorithm % Inputs: % train_patterns - Train pa
www.eeworm.com/read/140957/13050905

m batch1.m

make_rp; rp.T = 2.9; rp.name = 'run11'; run_qrd_lsl(rp); rp.T = 3.1; rp.name = 'run12'; run_qrd_lsl(rp); rp.T = 3.3; rp.name = 'run13'; run_qrd_lsl(rp); rp.T = 3.5; rp.name = 'run14'; run_qrd_lsl(rp)