代码搜索：gradient
找到约 2,951 项符合「gradient」的源代码
代码结果 2,951
www.eeworm.com/read/420775/10775927
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_ENGLISH,0
STRINGTABLE
{
s_MsgDlgWarning, "Warning"
s_MsgDlgError, "Error"
s_MsgDlgInformation, "Information"
s_MsgDlgConfirm, "Confirm"
s_Msg
www.eeworm.com/read/420775/10776016
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_DUTCH,5
STRINGTABLE
{
s_MsgDlgWarning, "Waarschuwing"
s_MsgDlgError, "Fout"
s_MsgDlgInformation, "Info"
s_MsgDlgConfirm, "Bevestig"
s_MsgDlgY
www.eeworm.com/read/275682/10801545
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_ENGLISH,0
STRINGTABLE
{
s_MsgDlgWarning, "Warning"
s_MsgDlgError, "Error"
s_MsgDlgInformation, "Information"
s_MsgDlgConfirm, "Confirm"
s_Msg
www.eeworm.com/read/275682/10801562
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_ENGLISH,0
STRINGTABLE
{
s_MsgDlgWarning, "Warning"
s_MsgDlgError, "Error"
s_MsgDlgInformation, "Information"
s_MsgDlgConfirm, "Confirm"
s_Msg
www.eeworm.com/read/275682/10801594
rc sstrings.rc
#include "..\sstrings.pas"
LANGUAGE LANG_DUTCH,5
STRINGTABLE
{
s_MsgDlgWarning, "Waarschuwing"
s_MsgDlgError, "Fout"
s_MsgDlgInformation, "Info"
s_MsgDlgConfirm, "Bevestig"
s_MsgDlgY
www.eeworm.com/read/419485/10864675
makefile
#############################################################################
# Makefile for building: gradient
# Generated by qmake (2.01a) (Qt 4.3.0) on: ?? ?? 10 19:51:16 2008
# Project: gradient.
www.eeworm.com/read/348702/10873983
txt bp神经网络的设计实例前向型神经网络.txt
例1 采用动量梯度下降算法训练 BP 网络。
训练样本定义如下：
输入矢量为
p =[-1 -2 3 1
-1 1 5 -3]
目标矢量为 t = [-1 -1 1 1]
解：本例的 MATLAB 程序如下：
close all
clear
echo on
clc
% NEWFF——生成一个新的前向神经网络
% TRAIN——对 BP 神经网络进行训练
www.eeworm.com/read/273093/10927317
m quadeg1.m
%微积分例1:一元函数求导（diff,gradient)
clear;close;
x=-2*pi:0.1:2*pi;
y=sin(x);
dy=diff(y)./diff(x);
plot(x,y,x(1:length(x)-1),dy);
hold on;
yx =gradient(y,x);
plot(x,yx,'ro');
www.eeworm.com/read/273093/10927348
m quadeg2.m
%微积分例2:二元函数求导（gradient)
clear;close;
xa=-1:0.1:1;ya=-1:0.1:1;
[x,y]=meshgrid(xa,ya);
F=y.*x.^2+y.^3.*x;
[fx,fy]=gradient(F,xa,ya);
subplot(1,2,1);mesh(fx);
subplot(1,2,2);mesh(fy);
www.eeworm.com/read/272953/10935625
m exn253.m
%《MATLAB及其在理工课程中的应用指南》(十一五规划版)第二章第五节
% 演示程序三(彩色和动画)
% 西安电子科技大学出版社出版 陈怀琛编著 2007年5月
%
clear, close all
echo on,clf,axis equal, % 因为产生的图形是圆形,故把坐标设成相等比例
M = moviein(16); % 为变量M预留16幅图的存储空间
for j=1