ee315b_stanford

一个帮助外汇交易者判断交易方向的信号，思路是进行突破交易，结合布林带通道和KD指标，KD上涨过程中过滤做空信号，KD下跌过程中，过滤做多信号。(A signal to help foreign exchange traders to judge the transaction direction, train of thought is a breakthrough deal with Bollinger channel and KD index, filter the short signal KD increases, KD falls in the process, filtering the signal to do more.)

Matlab三维图、三维图投影图、投影图叠加图绘制(Matlab three-dimensional map, three-dimensional map projection, projection superimposed drawing)

数学建模十大经典算法，希望各位喜欢。请多多支持，多多下载！(Ten classical algorithm of mathematical modeling, I hope you like. Please support, a lot of downloads!)

闭环充电机仿真图，看了这图你就会做充电机了。(Closed-loop simulation charts charger, read this plan you will do a charger.)

可以大批量地处理数据的导入，并将无关行列删除，再对数据中的字符串、数字格式统一，与拼接，并与另一个xls文档中的数据进行比较，是一个不错的代码。(Can import large quantities of process data, and independent of the ranks to delete the data string, the unity of the digital format, with the stitching, and compare the data with another xls document, which is a good code.)

利用重力剖面反演水平圆柱的边界及位置，程序抗干扰能力较差，模型计算加入噪音严重影响结果，但可作为算法参考并加以改进。(Tilt-Depth for gravity profile over horizontal cylinder)

工具箱提供了各种常用的信号处理，图象处理函数，例如小波分析，平滑滤波等等．非常便于学习和直接调用．(Toolbox offers a variety of commonly used signal processing, image processing functions, such as wavelet analysis, filtering and so on. Very easy to learn and direct calls.)

流体粒子仿真工具，读取FCS 2.0 或3.0格式的文件，进行流体仿真。(This Matlab GUI enables you to perform evaluation on FCS format data files measured by flow cytometry. The following features are included (version 2.2): reading FCS 2.0 and FCS 3.0 list mode (LM) file format. The user can multiselect more LM files in the "Open LM File" dialog box defining a set of LM files to be evaluate.)

基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)

The main objective of this simulation is to obtain induction motor equivalent circuit parameters by simulating four induction motor tests