AlamoutiBPSKSim

optimization problem solve with matlab by amin zafarian

龙格库塔法的编程,龙格库塔法的编程龙格库塔法的编程(Runge-Kutta method of programming)

元胞自动机模型，是用matlab编程，花了很多时间(Cellular automata model is used matlab programming, spend a lot of time)

这个一个比较详尽的matlab工具大全（中文版），喜欢的朋友赶快下，有好的资料请上传～(This a more detailed tool matlab Guinness (Chinese version), like a friend as soon as possible, there is good information, please upload ~)

GUI 是一种结合计算机科学、美学、心理学、行为学，及各商业领域需求分析的人机系统工程，强调人—机—环境三者作为一个系统进行总体设计。(GUI is a combination of computer science, aesthetics, psychology, behavioral science, and the commercial areas of human-computer systems engineering requirements analysis, emphasizing the human- machine- environment as a system of three overall design.)

中心逼近式动态灰色模型源代码，可以预测滑坡等模型(Center approach dynamic gray model source code, can predict landslide model)

根据多智能体一致性理论，通过多智能体系统的拓扑结构定义了邻接矩阵，控制系统内多个智能体从分散的初始位置最后达到一个确定队形的编队运动。(Based on multi-agent theory, the adjacency matrix is defined by the topology of multi-agent systems, multiple agent control system from dispersed initial position last reached a certain formation formation movement.)

此程序以美国黄石国家公园为例，构造尽可能贴近实际的仿真环境，从而通过仿真得到野火发生频率与野火规模之间的数学模型。这是一个经典的幂率模型，稍作改造好即可模拟“28原则”、“网站点击率”等幂率相关问题。(This procedure to Yellowstone National Park as an example, the actual construction simulation environment as close as possible to the simulated wildfire through the frequency and size of wildfires between the mathematical model. This is a classic power law model, slightly modified to better simulate " 28 principles" , " web site click-through rate" and other power-law related issues.)

matlab遗传算法代码，非常不错，值得看看(matlab genetic algorithm code, very good, worth a look)

考虑到传统的多示例多标签框架忽略了标签相关性，或者是将标签相关性作为全局概念知识加以利用，我们将局部标签相关性引入到MIML一SVM多示例多标签学习框架中来，得到了一种新的多示例多标签学习算法MIML LC SVM(Taking into account the traditional multi-sample multi-label framework ignores the label correlation or correlation between the label to be used as a global concept of knowledge, we will bow} local label correlation MIML into a multi-instance multi-label SVM learning framework in the past, get a new multi-instance multi-label learning algorithm MIML LC SVM)