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找到约 6,125 项符合「BATCH」的源代码

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www.eeworm.com/read/444270/7615455

m get_spikes_csc.m

function Get_spikes_CSC(channels,TimeStamps); % function Get_spikes_CSC(channel,TimeStamps) % Gets spikes from all channels in the .mat file channels. This batch is % to be used with Neuralynx data
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www.eeworm.com/read/442927/7641727

m vqkmeans_b.m

function [center, U, distortion] = kmeans(dataSet, clusterNum, plotOpt) %KMEANS K-means clustering using Forgy's batch-mode method % Usage: [center, U, distortion] = KMEANS(dataSet, clusterNum) %
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www.eeworm.com/read/442927/7641734

m vqkmeans.m

function [center, U, distortion, allCenter] = vqKmeans(data, clusterNum, plotOpt) % vqKmeans: Vector quantization using K-means clustering (Forgy's batch-mode method) % Usage: [center, U, distortion
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www.eeworm.com/read/399996/7817026

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
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www.eeworm.com/read/397099/8069036

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
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www.eeworm.com/read/397097/8069196

m mykmeans.m

function [centres, options, post, errlog] = kmeans(centres, data, options) %KMEANS Trains a k means cluster model. % % Description % CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means %
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www.eeworm.com/read/396657/8096488

txt log_340805.txt

Altium Limited Infineon Technologies Batch Number 340805 Publication History ~~~~~~~~~~~~~~~~~~~ 18-Aug-2005 19-Mar-2004 21-Mar-2003 08-Jun-2000 Latest Modification ~~~~~~~~~~~~~
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www.eeworm.com/read/245941/12771140

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
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www.eeworm.com/read/143706/12849646

m kmeans.m

function [centres, options, post, errlog] = kmeans(centres, data, options) %KMEANS Trains a k means cluster model. % % Description % CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means %
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www.eeworm.com/read/330850/12865135

m backpropagation_recurrent.m

function [test_targets, W, J] = Backpropagation_Recurrent(train_patterns, train_targets, test_patterns, params) % Classify using a backpropagation recurrent network with a batch learning algorithm
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