代码搜索:classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
www.eeworm.com/read/299984/7140012

m bpxnc.m

%BPXNC Back-propagation trained feed-forward neural net classifier % % [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each h
www.eeworm.com/read/219035/7147314

m calc_field_drv.m

clear clf smt_init load -mat mcphedran.gd lambda = 1.45e-6; k0 = 2*pi/lambda; sClass = 'f5'; % Fini's classification %sClass = 'p4'; % McIsaac's classification positions = distribute(oGd);
www.eeworm.com/read/461381/7228406

m success.m

function rate=success(classification, stest, strain) % success(classification, stest, strain) % % Returns the success rate of the classification. % % 'classification': vector created by function
www.eeworm.com/read/460435/7250487

m bpxnc.m

%BPXNC Back-propagation trained feed-forward neural net classifier % % [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each h
www.eeworm.com/read/455967/7360573

m softmargin.m

function y = softmargin(x) %SOFTMARGIN Support Vector Classification Softmargin % % Usage: y = softmargin(x) % % Author: Zhou Weida(Zhouwd@rsp.xidian.edu.cn) if (nargin ~= 1) % check correct numb
www.eeworm.com/read/455917/7361842

m pcamain.m

function [errorrate,result]=PCAmain(eignum) % PCAmain is used to simulate the process of PCA design and % classification % eignum specify the number of PCA eigenvectors % % errorrate is the error
www.eeworm.com/read/455716/7367860

plg dsplit.plg

Build Log --------------------Configuration: DSPLIT - Win32 Debug-------------------- Command Lines Creating command line "rc.exe /l 0x804 /fo"
www.eeworm.com/read/454470/7389300

readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-S
www.eeworm.com/read/450608/7480129

m bpxnc.m

%BPXNC Back-propagation trained feed-forward neural net classifier % % [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID) % % INPUT % A Dataset % UNITS Array indicating number of units in each h
www.eeworm.com/read/445041/7600791

plg dsplit.plg

Build Log --------------------Configuration: DSPLIT - Win32 Debug-------------------- Command Lines Creating command line "rc.exe /l 0x804 /fo"