svmsm

说明：  matlab遗传算法工具箱及应用，对于遗传算法中的通用问题和各种函数都给出了详细的参考。(MATLAB genetic algorithm toolbox and its application, for the general problems of genetic algorithm and a variety of functions are given a detailed reference.)

通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。(Through the adaptive FIR filter, and continuously revise its system function, so that the unknown system parameters with sufficient approximation, so that the smallest error to achieve system identification purposes.)

数学建模例题集非常有用，数学建模例题集非常有用(mathematical modeling examples set very useful mathematical modeling is very useful examples Set)

以Matlab与C语言、Visual Basic、Excel为核心语言，配有大量的代码实例，系统地介绍了常用的代码优化方法和功能扩展程序(In Matlab and C language, Visual Basic, Excel as the core language,配有大量code example, the system commonly used to introduce a code optimization method and function of the expansion process)

用差分方法计算带时变系数的波动方程,界面可视。(simulate the wave functions with time-varying coefficients)

THE MOST IMPORTANT FILE IN THE SYSTEM

matlab code log MLE extreme values

对遗传算法进行分析，介绍，并用多种matlab方法，C语言，c++算法进行仿真(The genetic algorithm is introduced, and a variety of analysis, matlab method, C language, c++ simulation)

车辆检测，用于检测单尺度的车辆。源码为MATLAB(car detection，MATLAB，MATLABMATLAB，MATLAB)

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)