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/200733/15426330
cpp deterministic.cpp
#include
#include
#include
#include
#include
#include
#include
#define PI 3.1415926/180
#define PAI 3.1415926
using n
www.eeworm.com/read/191902/8417086
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/191902/8417358
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/191902/8417370
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/286662/8751681
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/286662/8751958
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/286662/8751965
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/177129/9468772
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/177129/9468979
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/177129/9468991
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