人体运动检测与运动跟踪的源代码，用到了最新的算法，对这方面研究的人员很有帮助...

tsp问题，是一个很典型的NP完全问题，该程序用了遗传―退火结合算法，能优化计算-tsp problem is a typical NP-complete problem, the program is to use genetic- combined annealing algorithms that optimize computing

变色龙层次聚类算法，利用动态模型的层次聚类算法-chameleon hierarchical clustering algorithm, using a dynamic model of hierarchical clustering algorithm

用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use

用于三分类的BP算法程序,matlab源码-three classifications for the BP algorithm procedures, Matlab FOSS

以上是很好的SVM训练的程序，包括训练和识别-The above is a good SVM training procedures, including training and identification

DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.

《神经网络模式识别及其实现》源程序 几个VC编写的神经网络示例-neuronetwork

fisher c算法-fisher c algorithm

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

vs2005开发 遗传算法求解144城市的旅行商问题-VS2005 to develop genetic algorithm 144 city traveling salesman problem