资源列表
KNN(CSHARP)
- 基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件，通过机器学习，获取各个类别文本内容的主要特征，在这个基础上，给出待分类的文件库，系统通过自动分类，对文件库中的文本进行分类，把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file,
SimulatedAnnealing(TSP)CSHARP
- 运用c＃语言实现模拟退火算法，同时利用该算法解决旅行商（TSP）问题，获得遍历所有城市序号的最优路径。-use c # language simulated annealing, while using the algorithm to solve traveling salesman (TSP). access to the serial numbers of all the cities traverse the optimal path.
MLVQ
- LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based
AIhighway
- 高速公路的交织水平的源程序,用MFC实现可视化-highway intertwined level of the source, using MFC Visualization
vcshen
- 神经网络源代码和部分修改的东西,----工程-neural network source code changes and some things work ,----
sdt5
- 这是用vc++开发模式识别的小程序，希望给大家以帮助。-vc This is a small development of pattern recognition procedures, we hope to help.
sdt4
- 这是用vc++开发模式识别的小程序，希望给大家以帮助。-vc This is a small development of pattern recognition procedures, we hope to help.
sdt3
- 这是用vc++开发模式识别的小程序，希望给大家以帮助。-vc This is a small development of pattern recognition procedures, we hope to help.
som_demo2
- demo 2, a self organizing map, one kind of neural network
som_demo1
- self organizing map, a kind of neural network
monituihuopascal
- 模拟退火算法的原理，方法步骤及例题含pascal程序。经典实用-simulated annealing, the theories, methods and steps of excellence with pascal procedures. Practical Classics
monituihuosuanfa
- 系统讲解模拟退火算法的原理方法及应用。含有详细的步骤讲解-system on simulated annealing method and the application of the principle. Contains detailed steps on the