motorcycle_model

定温边界条件下，二维矩形平板的温度场差分数值模拟。(Constant temperature boundary conditions, two-dimensional rectangular plate differential temperature field numerical simulation.)

运用matlab软件进行6自由度并联机构工作仿真程序,(Using matlab software work parallel mechanism simulation program,)

一种多普勒仿真信号，可以用来构造多普勒信号(One kind of Doppler signal simulation can be used to construct Doppler signal)

VC调用matlab中定义的.m文件中的函数的实例(vc use matlab m-file )

蚁群算法的MATLAB程序，提供变量初始化 C=[1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m=31 Alpha=1 Beta=5 Rho=0.9 Q=100 NC_max=200 (Ant colony algorithm of MATLAB procedures, initialize the variable C = [1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m = 31 Alpha = 1 Beta = 5 Rho = 0.9 Q = 100 NC_max = 200 )

说明：  广义预测控制应用于预测控制，可以根据个人需要进行变换(GPC)

This is a matlab software package for butterworth band pass filter design. you could change the high pass and low pass frequency to design the betterworth filter.

第二个：matlab 和C++联合用于SLSVM，另外一种风格的(the second file: matlab and c++ together for SVM)

自适应程序matlab代码，有详细说明，很不错，适合初学者！(Adaptive procedure matlab code, a detailed description, it is good for beginners!)

基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。(New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.)