LS-SVM-toolbox

设计一个含有两个神经元的Hopfiled网络 使用的主要函数如下： NEWHOP——创建Hopfield网络 SIM——对Hopfield网络进行仿真(The design of a neuron contains two main Hopfiled network function as follows: NEWHOP- create a Hopfield network SIM- Simulation of the Hopfield network)

对MIMO发送、接收的各个步骤进行仿真分析，并有资料说明，适合初学MIMO知识的使用(MIMO transmission received various steps of the simulation analysis, and information on the use of suitable for beginners MIMO knowledge)

MIMO系统接收天线数不同时的信道容量对比(In contrast to MIMO system capacity of receiving antenna book is not the same channel)

说明：  粒子群优化方法，并行计算，收敛速度快，利于全局优化，算法实现简单(Particle Swarm Optimization)

说明：  随机森林是一种有监督学习算法，是以决策树为基学习器的集成学习算法。随机森林非常简单，易于实现，计算开销也很小，但是它在分类和回归上表现出非常惊人的性能，因此，随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)

设计一个控制器，在有限时间内误差趋近于零(design a control, and error converge to zero in limited time)

16QAM的调制端simulink仿真，本人初学者练习之用的，希望对初学者有用(failed to translate)

说明：  Leslie模型实例：基于Leslie矩阵的算法，同时将人口按10年一组分成m个年龄段，并根据一些影响人口数量和结构的重要因素（建立模型。再根据我国近十年的二孩出生率的实际情况并结合少数民族不受影响的因素，通过Matlab画出拟合曲线对2017-2030年我国每年人口总数做出预测。此后，根据近十年0-14岁、15-64 岁、65岁及以上三个年龄段的人数，计算出人口抚养比，用Matlab预测至2030年的人口结构。为了使预测更加精确，我们还将夫妇的生育意愿考虑到模型当中。(Based on the Leslie matrix algorithm, the population is divided into m age groups according to a group of 10 years, and according to some important factors that affect population size and structure Modeling. Then according to the actual situation of the birth rate of second-born children in China in the past ten years and combining the factors that are not affected by ethnic minorities, drawing a fitting curve through Matlab will make a prediction for the total population of China in 2017-2030. After that, based on the number of people aged 0-14, 15-64, and 65 years of age in the last ten years, calculate the dependency ratio of the population and use Matlab to predict the population structure by 2030. In order to make the prediction more accurate, we also consider the couple's fertility intention in the model.)

matlab优化程序，简单易用，极大提高工作效率。(matlab optimization procedures, easy to use, greatly enhancing efficiency.)

网络IMC控制的matlab实现。简单实例的仿真程序，源代码。(Network IMC control MATLAB program)