代码搜索:classification

找到约 3,679 项符合「classification」的源代码

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www.eeworm.com/read/193277/8242322

m display.m

function display(X) %display Overloaded % Author Johan L鰂berg % $Id: display.m,v 1.1 2004/06/17 08:40:08 johanl Exp $ P = X.P; classification = 'Logdet-term '; [n,m] = size(P)
www.eeworm.com/read/293183/8310694

m reject.m

%REJECT Compute error-reject trade-off curve % % e = reject(D) % % Computes the error-reject curve of the classification result % D = A*W, in which A is a dataset and W a classifier. e is a % set
www.eeworm.com/read/292420/8354400

h dsplitdoc.h

// DSPLITDoc.h : interface of the CDSPLITDoc class // 2005.1.13-16:02 By Superman ///////////////////////////////////////////////////////////////////////////// #if !defined(AFX_DSPLITDOC_H__56C0
www.eeworm.com/read/172814/9689424

h dsplitdoc.h

// DSPLITDoc.h : interface of the CDSPLITDoc class // 2005.1.13-16:02 By Superman ///////////////////////////////////////////////////////////////////////////// #if !defined(AFX_DSPLITDOC_H__56C0
www.eeworm.com/read/334793/12572328

h lassification.h

// lassification.h: interface for the Classification class. // ////////////////////////////////////////////////////////////////////// #if !defined(AFX_LASSIFICATION_H__A68443BA_9DAE_4943_96C5_BB0
www.eeworm.com/read/300795/13893047

h dsplitdoc.h

// DSPLITDoc.h : interface of the CDSPLITDoc class // 2005.1.13-16:02 By Superman ///////////////////////////////////////////////////////////////////////////// #if !defined(AFX_DSPLITDOC_H__56C0
www.eeworm.com/read/300777/13893733

h dsplitdoc.h

// DSPLITDoc.h : interface of the CDSPLITDoc class // 2005.1.13-16:02 By Superman ///////////////////////////////////////////////////////////////////////////// #if !defined(AFX_DSPLITDOC_H__56C0
www.eeworm.com/read/389959/8490912

txt bp文件夹说明.txt

BP神经网络用于分类与回归 ---------------------------------------------- 作者:陆振波,海军工程大学 欢迎同行来信交流与合作,更多文章与程序下载请访问我的个人主页 电子邮件:luzhenbo@yahoo.com.cn 个人主页:http://luzhenbo.88uu.com.cn ----------------------
www.eeworm.com/read/379518/9194484

m classificate.m

function [class_num ,class_value_root,class_1,class_2]=classificate(sample,attribute,classname,object) mar=zeros(sample,2); %load classname; %classname(:,1)=xlsread('xiongmen.xls','1','b2:b701');
www.eeworm.com/read/299561/7845271

txt bp文件夹说明.txt

BP神经网络用于分类与回归 ---------------------------------------------- 作者:陆振波,海军工程大学 欢迎同行来信交流与合作,更多文章与程序下载请访问我的个人主页 电子邮件:luzhenbo@yahoo.com.cn 个人主页:http://luzhenbo.88uu.com.cn ----------------------