Rounddetect

利用遗传算法训练神经网络的matlab程序，可避免神经网络训练的局部最优问题。(The use of genetic algorithm matlab neural network training procedure can avoid the neural network training problem of local optimum.)

近年来随着移动互联网业务和物联网业务的兴起与 发展，用户对移动宽带业务需求越来越旺盛，对移动通信 网络的接入速率和质量要求也越来越高，原有基于码分多 址（CDMA）的3G及其增强技术未来将无法满足业务发展 需要，因此3GPP及3GPP2组织自2004年开始启动长期 演进（LTE）/空口演进（AIE，后改名为超移动宽带UMB）项 目，旨在通过引入一些关键技术，如正交频分复用（OFDM） 调制技术、多入多出（MIMO）技术、混合自动重传请求 （HARQ）、全IP扁平化架构及动态带宽分配等实现网络变 革，达到以下所述的网络性能，为移动宽带多媒体业务持 续发展提供技术保障。(Abstract:To meet the needs of mobile broadband services,LTE is being deployed and becoming ma－ tured,which includes key technologies such as OFDM,high-order modulation,HARQ,enhanced multi-antenna technologies,fast synchronization technologies,scalable control channel design,adap－ tive resource allocation,interference suppression technologies etc.Moreover,the discussion on LTE- Advanced has started,where technologies being considered includes aggregate multi-carrier,high－ er-order MIMO,smart relay,heterogeneous net－ work,multipoint collaboration as well as enhanced interference management.)

自己编的马尔科夫程序，非常的好用，大家尽情下载(Own series of Markov process, very easy to use, we enjoy the download)

这个程序是杨儒贵研究生教材《高等电磁场理论》中的程序，讲解电磁场后向散射(This procedure is expensive Yang Ru graduate textbook "Advanced Electromagnetic Field Theory" program, to explain electromagnetic backscatter)

说明：  matlab经典程序包括各种算法的程序和各种建模模型(matlb is important.)

本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 仅含有Ez,Hx,Hy分量 (the two-dimensional program TM wave FDTD simulation procedure set up by PML absorbing boundary conditions for containing Ez , y, Hy weight)

利用Matlab开发的蚁群聚类算法，实例仿真过，比较好。(Developed using Matlab ant colony clustering algorithm, simulation examples too, is better.)

Matlab code，文件不大，实用、方便(Matlab code)

用matlab开放环境实现了对数据的非线性回归，方便好用，直接将数据输入到程序中，便可以实现对数据的非线性回归(Open environment with matlab realize the non-linear regression of data, easy to use, enter data directly into the program, you can achieve non-linear regression of the data)

用matalab实现的最短距离算法的系统聚类分析对样本进行分类(With matalab achieve the shortest distance between cluster analysis algorithm to classify the samples)