petri网络的演示程序，本程序是计算机网络课程中涉及到的petri网络的演示，输入预先的转换规则，搜索可以击发的状态，设定次数进行状态转换...

DBSCAN是一种性能优越的基于密度的空间聚类算法．利用基于密度的聚类概念，用户只需输入一个参数，DBSCAN算法就能够发现任意形状的类，并可以有效地处理噪声．-DBSCAN is a superior performance of space-based density clustering algorithm. The use of the concept of density-based clustering, the user can enter a parameter, DBSCAN algorithm to be able to find any type of shape, and can effectively deal with noise.

此为疾病诊断专家系统，用这种结构建立的知识库可以很方便地实现上面所提到的各种功能。这种结 构的最独特之处就是依靠相同的关键（疾病名或其代码）来实现一种疾病与其症候之 间的相互联系。疾病名与症候分别用二叉树进行排序。排序后可由疾病名而查到与该 疾病名有关的所有详细情况，也可由一种症候而查到哪些疾病有这种症候，以及该症 候可能引起各种疾病的概率。-This is the disease diagnosis expert system, using this structure to establish the knowledge base can easily realize the above mentioned features. The structure of the most unique is that relying on the same key (the disease or its code) to achieve a disease and its symptoms between. Name and symptoms of disease were treated with binary tree sort. Sort by the disease after the name of the disease were found with all the details of which can also be a symptom of the diseases that have found such a symptom, as well as the symptoms may lead to the probability of various diseases.

决策树分类C5.0算法的C语言实现源码！-C5.0 decision tree classification algorithm realize the C language source code!

神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.

一个遗传算法源程序 可以作为学习改进使用 希望对大家有所帮助-A genetic algorithm source code can be used as learning to improve the use of want to be helpful to everyone

一个用c++builder实现的神经网络算法的程序-c builder with a realization of the neural network algorithm for the procedure

自适应遗传算法 最基础的版本需要可以自己修改目标函数-Adaptive genetic algorithm version of the most basic needs can modify the objective function

基于神经网络的pid控制器，经过仿真-based on the nerual networks pid controller,and which have benn simulated

利用人工智能原理中BP神经网络算法，建立的彩票预测程序，当然不可能都预测中，但是要学习神经网络的人值得一看-BP neural network algorithm, the establishment of the lottery forecasting process, of course, not all forecasts, but neural networks to study the eye-catcher

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.