EN29LV160AB-90TCP

实例70_界面效果_ASCII查询器(Example 70_ interface effect _ASCII query device)

说明：  汇编语言的ppt，有兴趣可观看，非诚勿扰(Assembly language ppt, interesting to watch, if you are the one)

基于粒子群算法解决tsp旅行商问题，粒子群算法（以下简称PSO）就是模拟鸟群觅食行为的一种彷生算法 。 解=粒子=鸟 (鸟的位置象征着离食物的距离，粒子的位置也象征着离最优解的距离，是评价解质量的唯一标准)， 找食物=找最优解，一个西瓜=一个粒子找到的历史最优解，一块肉=整个粒子群找到历史最优解 。(Solving TSP traveling salesman problem based on particle swarm optimization)

说明：  混沌吸引子的matlab实现代码，包括 Logistic映射 - ChaosAttractorsMain_Logistic.m Henon映射 - ChaosAttractorsMain_Henon.m Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m Duffing吸引子 - ChaosAttractorsMain_Duffing.m Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m Rossler吸引子 - ChaosAttractorsMain_Rossler.m Chens吸引子 - ChaosAttractorsMain_Chens.m Ikeda吸引子 - ChaosAttractorsMain_Ikeda.m MackeyGLass序列 - ChaosAttractorsMain_MackeyGLass.m Quadratic序列 - ChaosAttractorsMain_Quadratic.m(Chaos attractor matlab implementation code. including: Logistic mapping - ChaosAttractorsMain_Logistic. M Henon mapping - ChaosAttractorsMain_Henon. M Lorenz attractor - ChaosAttractors main_lorenz.m Duffing attractor - ChaosAttractorsMain_Duffing. M Duffing2 attractor - ChaosAttractors main_duffing2.m Rossler attractor - ChaosAttractorsMain_Rossler Chens attractor - ChaosAttractors main_chens.m Ikeda attractor - ChaosAttractors main_ikeda.m MackeyGLass sequence - ChaosAttractors main_mackeyglass.m Quadratic sequence - ChaosAttractors Main_Quadratic. M)

JSR184的一个粒子效果，很适合用于游戏开发中，效果不错-JSR184 a particle effect, very suitable for game development, good results

说明：  在1024进行邀请码探测，检验是否可用。(to catch 1024 num,and then check it)

程序使用的是STC12C5A系列单片机，程序功能是,STC12C5A60S2-串口1-串口2-测试程序(The program uses STC12C5A series MCU, the program function is, STC12C5A60S2- serial 1-port 2-test program)

CFD的几个格式小程序，beam-warming、CIP、LAX、Lax-Wendroff、Maccormack格式(CFD u7E09 u5E0 )

说明：  openmv与stm32通讯，协议包，完成数据互传(Communication between openmv and stm32)

毕业设计动态多目标优化SGEA算法，可以有效解决多目标优化问题。(Dynamic multi-objective optimization SGEA algorithm for graduation design can effectively solve multi-objective optimization problems.)