新博客：https://aping-dev.com/

错误optimset('LevenbergMarquardt','on','LargeScale','off');正确options = optimset('Display','off','TolX',eps,'TolFun',eps,'LargeScale','on',... 'Algorithm','Levenberg-Marquardt');

http://blog.youkuaiyun.com/on2way/article/details/49204511

matlabimg = imread('.//img01.jpg');disp(img);结果disp(img(:,:,1)) Columns 1 through 30 189 59 1 0 52 51 40 32 0 4 115 202 215 205 206 207 222 211 197 0 31 165 1

只需要将函数所在路径或文件夹添加到路径即可。

data = importdata('rbf.txt'); %输入文件，只有一列数据，共312个，前252个作为训练nTrain = 252; %训练数据个数nTest = 60; %测试数据个数n = 5; %用5个数据预测第6个%训练 252个i = 1;x =

x = importdata('hg.txt'); %导入实际数据 共有10列，前9列为x，最后一列为y%disp(x); %打印xy = x(:, end);%disp(y) %打印yx = x(:, 1:end-1);%disp(x) %打印xstepwise(x,y)接下来的步骤： http://www.360doc.com/content/

指数曲线拟合function [a, resnorm] = fit t = 0: 60: 1800; f = [100 96.1111 92.7778 89.4444 86.6667 84.4444 82.2222 80 77.7778 76.1111 ... 74.4444 72.7778 71.1111 69.4444 68.3333 67.2222 66.1111 65 6

代数方程符号解>> syms a b c x>> s = a * x ^ 2 + b * x + c;>> solve(s)ans = -(b + (b^2 - 4*a*c)^(1/2))/(2*a) -(b - (b^2 - 4*a*c)^(1/2))/(2*a)%如果想求指定符号解，将其加入solve中>> b = solve(s, b)b =-(a*x^2 + c)/x代数方程组中符号

function cal %主函数x0 = rand(3,1); A = []; b = []; %线性约束不等式Aeq = []; beq = []; %线性约束等式vlb = zeros(3,1); vub = []; %变量的上界，下界[x, fval] = fmincon(@target, x0, A, b, Aeq, beq, vlb, vub

新建一个win32应用程序。 环境配置 代码编写// matlab.cpp : 定义控制台应用程序的入口点。//#include "stdafx.h"#include <stdlib.h>#include <stdio.h>#include <string.h>#include "engine.h"#pragma comment( lib, "libeng.lib" )#pragma

数组赋值a1 = [1 2 3 4]; %一维a2 = [1, 2, 3, 4]; %一维a3 = [1, 2, 3; 4, 5, 6]; %2行3列% 相当于% a3 = 1 2 3% 4 5 6a4 = 1: 2: 10 %一维，相当于[1, 3, 5, 7, 9]a4(1, 1) = 2 % 将a4[1][1]修改为2a5 = a4'

% 绘制一条曲线: y = x^2 - 10x + 15x = 0: 0.1: 10; %x轴从0到10，步长为0.1y = x.^2 - 10 * x + 15;plot(x, y);xlabel('x') %x轴标签ylabel('y') %y轴标签title('Plot of y = x^2 - 10x + 15'); %标题grid on