H-Tumbelaka-Borle

MATLAB GUI设计，一个很不错的GUI面板设计，集合了所有的GUI控件的功能。(MATLAB GUI )

BASICS OF ELECTRIC CIRCUIT FOR ELECTRICAL ENGINEERING STUDENTS

Obtain the stress in beam

说明：  标准遗传算法例程(可以用指数函数进行仿真，单目标)(genetic algorithm)

用G-N法求解非线性最小二乘优化问题 用修正G-N法求解非线性最小二乘优化问题 用L-M法求解非线性最小二乘优化问题 (GN method for solving nonlinear least squares optimization problems using a modified GN method for solving nonlinear least squares optimization problems using LM method for solving nonlinear least squares optimization problem)

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

说明：  这个一个用matlab写的关于二值图像游程编码的实例(binary image coding)

将MIT数据库的数据转换成matlab可以读的格式(convert the data of the database of the MIT to be the data which can be read with matlab )

使用谢菲尔德大学的工具箱遗传算法求解TSP问题(University of Sheffield toolbox using Genetic Algorithm for TSP)

一个自己做的MATLAB第三章作业哦哦~~还不错哦哦~~~新手可以下来看看哦哦~(doing a third chapter of MATLAB Instead operations also true ~ ~ ~ ~ ~ Instead newcomers can be viewed see Instead ~)