资源列表
二维数据画图程序
- 二维数据画图Matlab程序，运行非常方便，适合于科研人员对数据的处理。 (Dimensional data drawing Matlab program, run very convenient, suitable for researchers to deal with the data.)
复化Simpson公式法----matlab
- 复化Simpson公式法----matlab，勇于离散积分方程，助于勇于工程反问题的计算，适合于算例仿真。 (Complex Simpson formula ---- matlab, the courage to discrete integral equation, help to the courage to reverse the calculation of the project, suitable for example simulation.)
machine-learning-ex4
- Andrew Ng Cousera 机器学习课程神经网络手写字符识别，源代码以及说明文档(Andrew Ng Cousera 's Machine learning courses, Neural Network handwritten character recognition, source code and documentation)
machine-learning-ex5
- Andrew Ng Cousera 机器学习线性回归，并用它来研究不同偏置方差性能模型，源代码以及说明文档。(Andrew Ng Cousera's machine learning linear regression and use it to study models with different bias-variance properties and source code and document.)
machine-learning-ex6
- Andrew Ng Cousera 机器学习支持向量机SVM，源代码以及说明文档。(Andrew Ng Cousera's machine learning SVM source code and document.)
machine-learning-ex7
- Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
RealTime_Pacer
- Simulink模块，可放入simulink模型使其按照真实时间流逝速度进行仿真。(A simulink block that can be placed in any simulink model to adjust simulation speed.)
卡方检验matlab源程序
- 卡方检验的matlab程序，摸索matlab数值分析的时候使用。(Chi-square test matlab procedures, explore the use of matlab numerical analysis.)
PID
- PID对液位进行控制，增量PID进行跟踪的一个程序(PID a program that controls the level and increments PID to track)
GPS仿真程序
- gps的仿真程序，可用与对GPS的仿真实验(GPS simulation program, available and simulation experiments on the GPS)
4扫雷：有地雷鲜花物品栏和生命值
- 扫雷游戏的小程序，用于仿真的程序。扫雷小程序(Mine game applet, used for simulation procedures. Minesweeper applet)
AHP
- 应用于层析分析，具有较好的移植性，具有一致性检验，适用于一般的层次分析。里面有m文件及ahp资料(Applied to chromatography analysis, it has good portability, consistency test, and is suitable for general level analysis. There are m files and AHP data)