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/455716/7367852
h classification.h
// Classification.h: interface for the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_CLASSIFICATION
www.eeworm.com/read/455716/7367873
cpp classification.cpp
// Classification.cpp: implementation of the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
//#i
www.eeworm.com/read/445041/7600783
h classification.h
// Classification.h: interface for the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_CLASSIFICATION
www.eeworm.com/read/445041/7600913
cpp classification.cpp
// Classification.cpp: implementation of the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
//#i
www.eeworm.com/read/441403/7670807
h classification.h
// Classification.h: interface for the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#if !defined(AFX_CLASSIFICATION
www.eeworm.com/read/441403/7670933
cpp classification.cpp
// Classification.cpp: implementation of the Classification class.
// 2005.1.13－16：02 By Superman
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
//#i
www.eeworm.com/read/399996/7816566
txt classification.txt
Ada_Boost@Num iter, type, params:@[100,'Stumps',[]]@L
Backpropagation_Batch@Nh, Theta, Convergence rate:@[5, 0.1, 0.1]@L
Backpropagation_CGD@Nh, Theta:@[5, 0.1]@L
Backpropagation_Quickprop@Nh, Thet
www.eeworm.com/read/398934/7908748
m classification.m
function [a b]=Classification(X)
n=size(X,1);
%%%%%%%%%利用概率论中的3sigma对类变量分三类%%%%%%%%%%
m=mean(X);
s=sqrt(var(X)*(n-1)/n);
X1=max(X)*1.1;X2=min(X)*0.9;minus=X1-X2;
A=m-s;B=m+s;
a=(A-X2)/minus;
b
www.eeworm.com/read/398934/7908800
m classification.m
function [a b]=Classification(X)
n=size(X,1);
%%%%%%%%%利用概率论中的3sigma对类变量分三类%%%%%%%%%%
m=mean(X);
s=sqrt(var(X)*(n-1)/n);
X1=max(X)*1.1;X2=min(X)*0.9;minus=X1-X2;
A=m-s;B=m+s;
a=(A-X2)/minus;
b
www.eeworm.com/read/297897/7989391