earthquake-influence-coefficient

this is a matlab code for meshing in finite element method

LTE中的物理信道和信号 可以帮助你了解整个LTE系统(LTE physical channels and signals can help you understand the whole LTE system)

离散Hopfield神经网络的分类优化计算,在M ATLAB中完美运行(Calculation of classification optimization of discrete Hopfield neural networks, function perfectly in the M ATLAB)

Nginx Markdown module 一个nginx模块，可以将网页中的markdown语法自动转义为html,无需引入其他支持库，执行效率高。 使用--add-module编译Tengine可用dso_install动态加载。 设置实例(http块) location ~ /*.md { mdfilter on mdfilter_utf8 on } // Use Handler module location ~ /*.mkd { mdhandler mdhandler_output html }(Nginx Markdown module a nginx module can be a Web page markdown syntax is automatically escaped as html, without introducing additional support libraries, and high efficiency. Use- add-module compiled Tengine available dso_install dynamic loading. Set the instance (http block) location ~ /* md {mdfilter on mdfilter_utf8 on }.// Use Handler module location ~ /* mkd {mdhandler mdhandler_output html }.)

用Matlab编写的天空之城，分享给大家听听(Matlab prepared Laputa, share them to you)

本人搭建的Matlab风电模型、直驱2MW的，研究塔架振动的(I set up the Matlab, 2 mw direct-drive wind model, the mode of vibration，PMSG)

基于广义动态模糊神经网络的船舶纵摇参考程序(Shake reference procedures based on generalized dynamic fuzzy neural network trim of the ship)

在MATLAB7.0的环境下绘制nurbs插值曲线， (Environment in MATLAB7.0 draw nurbs interpolation curve,)

对三峡发电机组进行的simulink仿真，励磁等发电机控制部分采用实际的参数，此仿真为单机无穷大系统。(Simulink simulation of the Three Gorges generator, excitation generator parameters using the actual control, the simulation for single machine infinite bus system.)

1-8遗传算法，9 多目标Pareto最优解搜索算法，10 基于多目标Pareto的二维背包搜索算法，11-12免疫算法，13-17粒子群算法，18鱼群算法，19-21模拟退火算法，22-24蚁群算法，25-27神经网络，28 支持向量机的分类，29 支持向量机的回归拟合，30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-objective Pareto based two-dimensional knapsack search algorithm, 11-12 immune algorithm, 13-17 particle swarm algorithm, 18 fish swarm algorithm, 19-21 simulated annealing algorithm, 22-24 ant colony algorithm, 25-27 neural network, 28 support vector machine classification, 29 support vector machine regression simulation Regression Fitting and Classification of Combination, 30 Extreme Learning Machines)