资源列表
FUZZY-CONTROL-MAMDANI
- 一个3-4-1型的mamdani模糊控制系统，可适用于很多情况。-A 3-4-1 type mamdani fuzzy control system, applicable to many situations.
KorHarmonics
- 红蝴蝶指标，对市场预测能达到80 以上的正确率，该指标过滤了很多错误信号，非常好用，市面上买来的-Red Butterfly indicators, market forecast to reach more than 80 accuracy rate, the indicator signal filtering a lot of mistakes, very easy to use, the market bought
yu-ce-D
- 蝴蝶指标里面的新的扩展指标，能够提前预测D点的出现，对于cd段的行情把握比较准确，盈利也是非常可观的-Butterfly indicators inside the new expansion indicators that are able to predict in advance the emergence of point D, for cd more accurate grasp of the market segment, profitability is very impressi
neural-work
- 内含神经网络的一些程序以及相关matlab工具箱的使用方法。-It contains some procedures and related matlab neural network toolbox of usage.
Haar-Detect
- 用OpenCV封装的Haar算法进行人脸检测，检测目标可以是多个人脸。-Face detection using Haar algorithm of OpenCV package, target detection can be more than one person face.
TestCvBpNet
- 集成BP神经网络算法，并简单的测试算法。vs2008下VC开发的测试环境。-Integrated BP neural network algorithm, and test the algorithm simple. Testing environment for VC development vs2008.algorithm. VS2008
TSP_30
- 选择30城市TSP问题作为研究对象，解题思路源自于：“由固定点围成的多边形，其面积与其周长成反比（李氏定则）”。-Select TSP 30 city as the research object, problem-solving ideas from: "surrounded by a fixed point of the polygon, the area of its week inversely proportional to (Lee s rule)".
Main.java
- Calculate next emission with hidden markov model
libsvm
- libsvm的主程序，利用C语言写好的支撑向量机程序，可以直接使用-libsvm programme
BPbijin
- 自己写的BP网络逼近非线性函数的matlab的m文件，没有调用matlab现成的函数-Write your own BP neural network nonlinear function approximation matlab m-file, there is no ready-made call matlab function
BPshibie
- 自己写的BP网络模式识别matlab的m文件，没有调用工具箱函数，本例为两输入，一输出，可自己修改开发-Write your own BP neural network pattern recognition matlab m files, without calling toolbox function, in this case two inputs, one output, can modify their own development
K-means-algorithm-by-CPP
- K均值算法，聚类分析，C++实现，附代码以及示例程序-K-means algorithm, cluster analysis, C++ realize, with a code and sample programs