朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J...

自主巡线小车机器人的设计及其控制的c语言源码。-Independent line patrol car robot design and control of c-language source code.

神经网络的相关资料 神经网络的基础知识及其在MATLAB中的实现-matlab16neuro network

由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the "k-means clustering algorithm" mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.

贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion

机器人接口程序框架，需要搞机器人的同志不用自己搞框架了-Robot interface program framework, the need to engage in robot comrades do not have to engage in the framework of the

BP神经网络的C语言实现-Neural Network C Language

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.

一个比较好用的中文分词模块,是车东等人开发的,比较有名,java语言实现-a better quality of the Chinese word module, East cars were developed, more famous, java language!

一种基本的模式识别方法，进行了部分改进，简单实用，采用matlab仿真，经编译后无误。供大家学习参考-A basic pattern recognition methods, partially improved, simple and practical, the use of matlab simulation, as compiled correctly. Reference for everyone to learn

一个不错的自适应滤波演示程序,包括固定带通滤波器和可变带通滤波器的演示.-a good demonstration of adaptive filtering procedures, including band-pass filter fixed and variable bandpass filter demonstration.