资源列表
决策树c4.5-r8的windows版本
- 用c++实现的决策树算法，windows环境下，希望对学习数据结构和算法的朋友有所帮助。-achieve with the Decision Tree Algorithm, windows environment, and I hope to learn from data structures and algorithms friends help.
支持向量机的SMO算法VC实现
- 支持向量机的SMO算法VC实现,在模式识别和 许多方面很有用-support vector machine algorithm VC SMO, in pattern recognition and useful in many ways
pattern_recognition
- 模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,
RBF预测
- 应用径向基神经网络作预测的matlab程序-application RBFNN forecast for the Matlab procedures
20051004深度优先
- 人工智能中的八数码难题 这个采用的是深度优先方法 编程球境是VC++ 解压即可.-artificial intelligence of eight digital problem is the depth of the preferred method of programming ball Habitat VC can be unpacked.
用遗传算法计算最短路径
- ｍａｔｌａｂ编写的计算排序问题或者求最优值问题，适用于数学建模以及工程计算-Matlab calculations prepared by the scheduling problem or seek optimal values, apply to mathematical modeling, and engineering computing
用Fortran实现的bp算法程序
- 这是用Fortran实现的bp算法程序，供大家自学参-This is achieved using Fortran bp algorithm, for your self-Participation
SmartMiner
- 一个简单灵活的数据挖掘实验平台，算法基本为空，但提供读数据，基本数据预处理功能，欢迎大家使用，共同提高。-a simple and flexible experimental data mining platform, the basic algorithm for air, but for reading data, the basic data preprocessing functions Everyone is welcome to use together.
bpxor
- BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping
KMEANS聚类
- knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,
Fisher
- Fisher判别，用于模式识别的Fisher线性判别-Fisher Discriminant for pattern recognition Fisher Linear Discriminant
数据挖掘算法(Apriori)
- 数据挖掘算法(Apriori)--JAVA实现-(Apriori)--JAVA