资源列表
solar-cell
- about maximum peak power tracking
lda-0.1-matlab
- 这是一个LDA主题模型的matlab代码,可进行中文模糊聚类分析,内涵说明,可直接使用。-This is a topic LDA model matlab code, can be Chinese fuzzy clustering analysis, meaning that can be used directly.
cdma
- cdma, direct sequence spread spectrum modulation. computes error rate of received sequence in a AWGN channel. simulated in simulink.-cdma, direct sequence spread spectrum modulation. computes error rate of received sequence in a AWGN channel. simula
approx
- approximation with neural networks
example_swimmer
- direct kinematics neural network in matlab
matlab_instruction
- 中大数计的matlab的ppt,数学建模竞赛资料-The large numbers of dollars matlabppt
DPCA
- 动态PCA方法,引入动态时间l,考虑变量本身的时序自相关性,同时还分析变量之间的时序相关性,把PCA方法应用到动态数据矩阵。 -Dynamic PCA method, introducing dynamic time l, consider the timing of the variable itself autocorrelation, also analyzed the correlation between the timing variables, the PCA method i
all_files_sr
- 关于随机共振的所有实例,有势阱含义的动画显示,有随机共振系统检测微弱信号,还有输入输出的信噪比计算,非常好的源程序,希望对您有帮助-You can use those files to learn the concept of sr.
Bond-repurchase
- 【债券回购量化投资模型】:本人在投资公司做量化投资的,分享一个简单的债券回购量化投资模型,在rar压缩文件附有数据,模型的原理与策略系历史最大开盘价合约进场,细节不多讲,做量化投资的朋友可以了解一下。-[Bond repurchase quantitative investment model]: I do quantitative investment in investment companies, sharing a simple bond repurchase quantitative
GUI_backgroundcolor
- 【Matlab界面GUI添加背景图片】:好像桌面背景一样,添加自己想要的背景图片,这里面有个技术,可以让背景不影响GUI界面的文字,edit、text。具体代码下载了解一下吧,平时工作总结的方法。-Matlab interface [GUI] Add a background image: It seems as desktop background, you want to add your own background image, and there are a technology th
gif_make
- 【matlab制作gif文件】:使用说明:在gif_make.m文件目录下新建一个文件夹:photo,将要制作的jpg存放在此,命名为pic1、pic2...,运行m文件,即可生成gif文件,自己可以自定义波幅速度。-[Matlab make gif file]: Instructions: Create a new folder in the gif_make.m file directory: photo, will be stored in this production jpg name
BP_futures
- 【神经网络BP预测期货收盘价】:用开盘价、最高价、最低价、收盘价数据预测未来几天的收盘价,训练方法为trainlm。数据只需要一个txt文件,可以自己网上下载,TB或文化软件提取,本人提供了一份txt的开高低收文件。-[BP neural network to predict futures closing price]: with open, high, low, close price data to predict the closing price of the next few day
