代码搜索：Simulated
找到约 1,823 项符合「Simulated」的源代码
代码结果 1,823
www.eeworm.com/read/493206/6398498
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
www.eeworm.com/read/493206/6398585
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/479088/6699301
m loaddata.m
function [ordata,windata]= loaddata (radarp,dataopt,num);
%
% Loads the data. For actual data, the name of data must
% be 'd727un' or 'dc10un'. For simulated data, the name
% of the
www.eeworm.com/read/410924/11264853
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
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/409205/11341463
m fxquant.m
function X = fxquant( s, bit, rmode, lmode )
%FXQUANT simulated fixed-point arithmetic
%-------
% Usage: X = fxquant( S, BIT, RMODE, LMODE )
%
% returns the input signal S reduced to a w
www.eeworm.com/read/131588/14136238
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
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/129915/14217666
m stochastic_sa.m
function [features, targets] = Stochastic_SA(train_features, train_targets, params, region, plot_on)
%Reduce the number of data points using the stochastic simulated annealing algorithm
%Inputs:
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