代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/330850/12865150
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a radial basis function network algorithm
% Inputs:
% train_patterns - Train patt
www.eeworm.com/read/330850/12865157
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/317622/13500953
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a radial basis function network algorithm
% Inputs:
% train_patterns - Train patt
www.eeworm.com/read/317622/13500955
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/101082/6249496
c ti.c
#ifndef lint
static char sccsid[] = "@(#)ti.c 4.2 8/11/83";
#endif
/* ti.c: classify line intersections */
# include "t..c"
/* determine local environment for intersections */
interv(i,c)
{
int ku,
www.eeworm.com/read/405069/11472301
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a radial basis function network algorithm
% Inputs:
% train_patterns - Train patt
www.eeworm.com/read/405069/11472303
m rce.m
function test_targets = RCE(train_patterns, train_targets, test_patterns, lambda_m)
% Classify using the reduced coulomb energy algorithm
% Inputs:
% train_patterns - Train patterns
% train_tar
www.eeworm.com/read/341972/12052315
m rbf_network.m
function [test_targets, mu, Wo] = RBF_Network(train_patterns, train_targets, test_patterns, Nh)
% Classify using a radial basis function network algorithm
% Inputs:
% train_patterns - Train patt
www.eeworm.com/read/175689/5343295
m detreeexp41.m
global data textdata x y j
load balance-scale
%% 作散点图
gscatter(data(:,1), data(:,2), textdata(:,1),'rgb','osd');
xlabel('Left-distance');
ylabel('Right-distance');
linclass = classify(da
www.eeworm.com/read/428780/1953969
m detreeexp41.m
global data textdata x y j
load balance-scale
%% 作散点图
gscatter(data(:,1), data(:,2), textdata(:,1),'rgb','osd');
xlabel('Left-distance');
ylabel('Right-distance');
linclass = classify(da