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/480529/6665747
txt 06-22.txt
例6-22 使用gradient函数求近似梯度。
解：在命令窗口中输入如下命令，并按Enter键确认。
>> [x,y] = meshgrid(-2:.2:2, -2:.2:2);
>> z = x .* exp(-x.^2 - y.^2);
>> [px,py] = gradient(z,.2,.2);
>> contour(z)
>> hold on
>> quiver(px,
www.eeworm.com/read/480200/6668035
m llgrad.m
function [err1, err2] = llGrad(p1,p2,type,tolGrad,tolEval)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% [err1,err2] = llGrad(p1, p2, type [, tolGrad ,tolEva
www.eeworm.com/read/480149/6677664
m quiver531.m
function quiver531
figure(1)
[X,Y] = meshgrid(-2:.2:2);
Z = X.*exp(-X.^2 - Y.^2);
[DX,DY] = gradient(Z,.2,.2);
contour(X,Y,Z)
hold on
quiver(X,Y,DX,DY)
www.eeworm.com/read/409851/11310479
m shili24.m
function shili24
h0=figure('toolbar','none',...
'position',[200 150 450 350],...
'name','实例24');
subplot(2,2,1)
z=peaks;
ribbon(z)
title('Figure1')
subplot(2,2,2)
[x,y,z]=peaks(15);
www.eeworm.com/read/409582/11318835
txt bp.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
www.eeworm.com/read/263879/11338069
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/263879/11338081
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/409142/11344888
m quiver531.m
function quiver531
figure(1)
[X,Y] = meshgrid(-2:.2:2);
Z = X.*exp(-X.^2 - Y.^2);
[DX,DY] = gradient(Z,.2,.2);
contour(X,Y,Z)
hold on
quiver(X,Y,DX,DY)
www.eeworm.com/read/407840/11410241
m shili24.m
function shili24
h0=figure('toolbar','none',...
'position',[200 150 450 350],...
'name','实例24');
subplot(2,2,1)
z=peaks;
ribbon(z)
title('Figure1')
subplot(2,2,2)
[x,y,z]=peaks(15);
www.eeworm.com/read/406239/11446578
txt bp.example.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