代码搜索:deterministic

找到约 440 项符合「deterministic」的源代码

代码结果 440
www.eeworm.com/read/372113/9521104

m deterministic_boltzmann.m

function [test_targets, updates] = Deterministic_Boltzmann(train_patterns, train_targets, test_patterns, params); % Classify using the deterministic Boltzmann algorithm % Inputs: % train_pattern
www.eeworm.com/read/372113/9521337

m deterministic_sa.m

function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic simulated annealing algorithm %Inputs: %
www.eeworm.com/read/372113/9521343

m deterministic_annealing.m

function [patterns, targets] = deterministic_annealing(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic annealing algorithm %Inputs: % tra
www.eeworm.com/read/362008/10023795

m deterministic_boltzmann.m

function [test_targets, updates] = Deterministic_Boltzmann(train_patterns, train_targets, test_patterns, params); % Classify using the deterministic Boltzmann algorithm % Inputs: % train_pattern
www.eeworm.com/read/362008/10024003

m deterministic_sa.m

function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic simulated annealing algorithm %Inputs: %
www.eeworm.com/read/362008/10024008

m deterministic_annealing.m

function [patterns, targets] = deterministic_annealing(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic annealing algorithm %Inputs: % tra
www.eeworm.com/read/357874/10199063

m deterministic_boltzmann.m

function [test_targets, updates] = Deterministic_Boltzmann(train_patterns, train_targets, test_patterns, params); % Classify using the deterministic Boltzmann algorithm % Inputs: % train_pattern
www.eeworm.com/read/357874/10199184

m deterministic_sa.m

function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic simulated annealing algorithm %Inputs: %
www.eeworm.com/read/357874/10199187

m deterministic_annealing.m

function [patterns, targets] = deterministic_annealing(train_patterns, train_targets, params, plot_on) %Reduce the number of data points using the deterministic annealing algorithm %Inputs: % tra
www.eeworm.com/read/349842/10796670

m deterministic_boltzmann.m

function D = Deterministic_Boltzmann(train_features, train_targets, params, region); % Classify using the deterministic Boltzmann algorithm % Inputs: % features - Train features % targets - Tra