mao_de44

说明：  神经网络与matlab7的实现 配套资料下载 .m格式(neural network and the realization matlab7 supporting information downloaded. M format)

几种模拟调制的matlab实现 am,fm,pm matlab7.0以上版本才可看(Several analog modulation matlab realize am, fm, pmmatlab7.0 can see above)

速度反馈异步感应电机调速系统的matlab仿真模型，mdl文件(Velocity feedback asynchronous induction motor speed control system of the matlab simulation model, mdl file)

常见滤波器Matalab程序,设计高通滤波器 ,设计低通滤波器 (Common filter Matalab procedures, design of high-pass filter, low pass filter design)

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)

for fem matlab for solving all 2D and 3D problem

33节点测试：计算联络线转供方案；负荷点损失风险计算；过电流风险计算(33 node test: contact wire transfer for computing program load point risk of loss calculation overcurrent calculated risk)

A DVB-T 2K Transmission simulation of OFDM

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

matlab simulation for TL and cable