代码搜索：Testing
找到约 10,000 项符合「Testing」的源代码
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www.eeworm.com/read/375190/2726155
jam testing.jam
# Copyright 2005 Dave Abrahams
# Copyright 2002, 2003, 2004, 2005, 2006 Vladimir Prus
# Distributed under the Boost Software License, Version 1.0.
# (See accompanying file LICENSE_1_0.txt or http://ww
www.eeworm.com/read/366180/2892810
h testing.h
/*---------------------------------------------------------*\
| |
| TESTING.H |
|
www.eeworm.com/read/162614/5540686
h testing.h
/* DO NOT EDIT THIS FILE.
It has been auto-edited by fixincludes from:
"fixinc/tests/inc/testing.h"
This had to be done to correct non-standard usages in the
original, manufacturer su
www.eeworm.com/read/159050/5588458
py testing.py
# $Id: testing.py,v 1.1 2004/08/10 14:22:07 sean Exp $
#
# Project: MapServer
# Purpose: xUnit style Python mapscript testing utilities
# Author: Sean Gillies, sgillies@frii.com
#
# ==============
www.eeworm.com/read/159050/5588463
py testing.py
# $Id: testing.py,v 1.10 2005/07/27 17:42:28 sean Exp $
#
# Project: MapServer
# Purpose: xUnit style Python mapscript testing utilities
# Author: Sean Gillies, sgillies@frii.com
#
# =============
www.eeworm.com/read/159050/5588486
txt testing.txt
.. $Id: TESTING.txt,v 1.11 2004/11/29 21:08:49 sean Exp $
Python MapScript Unit Tests
========================================
Authors: Sean Gillies, sgillies@frii.com
Howard Butler, hobu@i
www.eeworm.com/read/292719/8338283
c testing.c
#include "util.h"
#include "vpr_types.h"
#include "globals_declare.h"
#include "read_arch.h"
#include "rr_graph.h"
#include "draw.h"
#include "graphics.h"
#include
int
main()
{
char ms
www.eeworm.com/read/412642/11190123
m testing.m
%本函数实现了,通过加权平局法计算模糊模型的输出
%输入数据:
%x:数据矩阵,每一行代表一个特征
%w:每条规则的权重,是一个列向量
%c:规则的个数
%th:模糊模型的后件参数,是一个矩阵,每一列代表一个规则的后件参数
%sigma:模糊模型的前件参数,是一个矩阵,每一行代表一个规则的前件参数
%v:原形矩阵,每一行代表每个规则中特征向量的中心
%输出数据:
%testy:对 ...
www.eeworm.com/read/412641/11190131
m testing.m
function rate=testing(TestX,ClassNum,EachTestClassNum,TestClass,A,MeanEachClass)
for i=1:ClassNum
TrainPro(:,i)=A'*MeanEachClass(:,i);
end
N=EachTestClassNum*ClassNum;
T=0;
for i=1:N