资源列表
TSP_GA
- 《智能优化算法》课的作业,用遗传算法解TSP问题。其间遇到了收敛速度慢的问题,也是在这个网找到了解决方案。大家下载的应该都是那个VC6的Windows程序。我这个是从零开始写的,大家看起来应该容易懂些。C++的Console程序,VC2005下编译。全部用STL,所以旧的编译器可能会有点问题。压缩包内有谢胜利的论文:《TSP遗传算法的改进》。正是用他的贪婪交配才使得10代左右解就收敛到很好。再次赞一下!-" Intelligent Optimization Algorithms"
SGA3
- 本代码是一个自适应优化遗传算法的例子,读者可以结合王小平写的书来学习,已经实现了,测试过,可以通过编译计算结果-This code is an adaptive genetic algorithm optimization example, readers can be combined Wang Xiaoping wrote the book to learn, has become a reality, testing, and results can be compiled
8nn-src
- neural networks applications
fuzzy
- Fuzzy logic controller that uses mamdani logic.
AI
- ai 代码的C++实现,在VC6.0下运行通过-ai code of C++ to achieve,vc++ Running through
astar
- 用A*算法解决八数码问题的小程序,特别好的程序代码-With A* algorithm to solve the problem of a small digital 8 procedures, in particular, a good code
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法,是理解和应用聚类算法的基础,通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
patternrecognition
- 文件中包含多种模式识别常用的算法,如:ISODATA、 K均值、 感知器、 LMSE最小误差、 贝叶斯,希望对大家能有所帮助-File contains a variety of commonly used pattern recognition algorithms, such as: ISODATA, K-means, perceptron, LMSE the smallest error, Bayesian, in the hope that we can help
swtu
- 改进的模糊聚类算法,主要用于处理高分辨率遥感影像-Improved fuzzy clustering algorithm, mainly used to deal with high-resolution remote sensing image
myisodata
- isodata算法,针对的是iris数据库,代码可以直接运行,很好用。要是要用于自己的数据库,只需要把文件名,结构体信息修改下即可。-isodata algorithm, the iris against a database, code can be run, it just works. If the database to be used for their own, just to the file name, the structure of information can be mo
pcnnmm
- pcnn与图形学结合处理脉冲噪声的程序,效果不错。-Graphics pcnn combination with procedures to deal with impulse noise, good effect.
NSDL_Classifier
- 模式识别工具箱。非常丰富的底层函数和常见的统计识别工具,应用非常广泛。-A advanced pattern recognition toolbox.it has rich basic functions and you can write your own applications based on them. It can be used in many research fields.
