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/398034/8009038
m sa_fig8_22.m
% Figure 8.22 conjugate gradient paths
[X,Y] = meshgrid(-2:.2:2, -2:.2:2);
Z = X .^2+(1.5*Y).^2;
figure;
contour(X,Y,Z)
colormap(gray)
axis([-2 2
www.eeworm.com/read/197117/8028177
java gradientcomponent.java
package gui;
import graph.Properties;
import graph.Gradient;
import java.util.ListIterator;
import javax.swing.JLabel;
import javax.swing.JButton;
import java.awt.Color;
import java.awt
www.eeworm.com/read/397657/8030440
txt bp神经网络实例.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/196814/8058500
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/196814/8058529
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/295753/8142280
pro chapter09morphgradientexample.pro
; Chapter09MorphGradientExample.pro
PRO Chapter09MorphGradientExample
; Prepare the display device
DEVICE, DECOMPOSED = 0, RETAIN = 2
LOADCT, 0
; Select and read in the file.
file = FILEPATH('ma
www.eeworm.com/read/146237/12662357
m cbir_edgehist.m
function edgehist = CBIR_edgehist(rgb)
% EE6850 HW3, Content-Based Image Retrieval
% CBIR_edgehist() -- edge histogram calculation
% input:
% MxNx3 image data, in RGB
% or MxN luminance chann
www.eeworm.com/read/144351/12801279
m q253.m
%《MATLAB在电子信息课程中的应用》第二章第五节演示程序三q253
% 彩色和动画
% 电子工业出版社出版 陈怀琛 吴大正 高西全合著 2001年10月
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=1:16 % 作16次循环
plot(
www.eeworm.com/read/244945/12829358
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/244945/12829388
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);