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/410924/11265032
m deterministic_sa.m
function [features, targets] = Deterministic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inp
www.eeworm.com/read/410924/11265040
m deterministic_annealing.m
function [features, targets] = deterministic_annealing(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic annealing algorithm
%Inputs
www.eeworm.com/read/405069/11472172
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/405069/11472293
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/405069/11472296
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/131588/14136172
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
www.eeworm.com/read/131588/14136394
m deterministic_sa.m
function [features, targets] = Deterministic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inp
www.eeworm.com/read/131588/14136398
m deterministic_annealing.m
function [features, targets] = deterministic_annealing(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic annealing algorithm
%Inputs
www.eeworm.com/read/129915/14217616
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
www.eeworm.com/read/129915/14217773
m deterministic_sa.m
function [features, targets] = Deterministic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inp