学习排序问题的一种方法是将问题转化为分类问题。

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.

可拓学的专家系统,基于B/S结构,动态,网络专家系统.-Extenics expert system, based on B/S structure, dynamics, network expert system.

模拟退火算法（解98数学建模灾情巡视问题）-Simulated annealing algorithm (solution of 98 to inspect the disaster mathematical modeling issues)

基于bp人工智能的图像识别的技术，配套源代码-bp artificial intelligence-based image recognition technology and supporting source code

用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the program automatically gives Classification Interface

无约束条件的模拟退火算法 -Unconstrained conditions of simulated annealing algorithm

BP神经网络C＋＋实现-BP neural network implemented by C++

Fisher线性判别分类器源代码，包括训练函数和测试函数。-Fisher Linear Discrimination (FLD) classifier source code, including training function and test function.

Visual studio 2005,C#开发 具有人工智能，可采用人工下棋、电脑参谋、电脑下棋等模式参加互联网比赛。采用ClickOnce发 -Visual studio 2005, C# Development of artificial intelligence, to be used in artificial playing chess, computer staff, the computer model of chess and other games take part in the Internet. Using ClickOnce fat