D-MESONS

一个无线网络仿真程序，提供了较完备的网络分层仿真功能(a wireless network simulation program to provide a more comprehensive network hierarchical simulation function)

最小二乘法、迭代最小二乘法、总体最小二乘法(LS IDLS TLS)

Using the steepest descent to solve do the optimization work. You can either cll the function or use the difference method to derive the gradient

利用KNN最近邻算法，对心音信号进行分割并判断，给出第一心音、第二心音和收缩期、舒张期。(Use KNN nearest neighbor algorithm, the heart sound signal is divided and judgment is given first, second heart sound and systolic, diastolic.)

说明：  this file along with others coded "finger" construct the complete source code for fingerprint recognition system. do enjoy using it,

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

基于MATLAB的最小二乘法参数辨识与仿真(MATLAB-based parameter identification and simulation of least squares)

说明：  是一个M函数，连接数据库的过程，只需调用函数名就可以链接access数据库(a m function of connecting access database)

Kruskal算法的M程序，主要用于图论问题。最终求出要求的最小树问题。(Kruskal algorithm M program, mainly for graph theory problems. Eventually find the required minimum tree problem.)