资源列表
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
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
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
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
fuzzy
- Fuzzy logic controller that uses mamdani logic.
8nn-src
- neural networks applications
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
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"
SGA
- 学习遗传算法的标准入门程序,这是我当初入门的时候用的。-Perfect code to learn genetic algorithm
Main_SVR_Epsilon
- svm Main_SVR_Epsilon 用于svm回归的 在matlab中运用 -svm regression svm Main_SVR_Epsilon for use in matlab
Main_SVM_One_Class
- svm Main_SVM_One_Class 用于svm分类的 在matlab中运用 -svm classification svm Main_SVM_One_Class for use in matlab
Main_SVC_Nu
- svm_nu 分类源码 用于svm的分类编程同svm_c 相近-svm classification svm_nu source for the classification of programming with similar svm_c