A星算法+强启发函数解八数码问题，自带判断是否有解

本程序实现通过构造一棵前缀树实现 最大模式频繁项集挖掘算法.应用fp树增长算法实现.-the program by constructing a prefix tree to achieve the greatest model Frequent Mining algorithms. Application fp growth tree algorithm.

一种运算效率较高的遗传算法-a higher genetic algorithms

支持向量机工具箱使用方法演示，讲述如何使用svm的工具箱。-Support Vector Machines to use the toolbox demonstration on how to use the toolbox svm.

仿真1：首先把网络温度参数T固定在100，按工作规则共进行1000次状态更新,把这1000次状态转移中网络中的各个状态出现的次数Si（i＝1，2，…，16）记录下来 按下式计算各个状态出现的实际频率： Pi=Si/∑i=1,NSi=Si/M 同时按照Bo1tzmann分布计算网络各个状态出现概率的理论值： Q（Ei）=（1/Z）exp（-Ei/T） 仿真2：实施降温方案，重新计算 采用快速降温方案：T（t）= T0/（1+t） T从1000降到0.01，按工作规则更新网络状态 当T=0.01时结束降温，再让T保持在0.01进行1000次状态转移，比较两种概率-a simulation : First of all network parameters temperature T fixed at 100 and, according to the rules for a total of 1000 to update the state, this state of the 1000 network transfer of all states for the number of Si (i = 1, 2, ..., 16) all recorded determined by the formula state-of the actual frequency : Pi = Si/i = 1, NSi = Si/M in accordance with Bo1tzmann distributed computing network of states all probability the theoretical value : Q (Ei) = (1/Z) exp (- Ei/T) Simulation 2 : implementation of cooling, re-using rapid cooling programs : T (t) = T0/(1 t) T dropped to 0.01 from 1000 and, according to the rules updated network state when T = 0.01 at the end of cooling, let T at 0.01 for the 1000 state tran

程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm

这是一个parzen窗口分类算法，希望能给大家的学习有所帮助-This is a Parzen window classification algorithm, we hope that they will be helpful to the learning

一种汉字模式识别的VC++源代码，里面包含了学习与识别的算法实现，识别一种汉字前，先学习几遍。识别率高，对学习与研究模式识别很有好处。方便修改。-a Chinese character pattern recognition VC source code, which contains the learning and recognition algorithm, a Chinese character recognition, first learn several times. The high recognition rate for the study and research of pattern recognition is very good. To facilitate change.

包含FuzzyKMeans, FuzzyGK, FuzzyR等算法，拓展了weka（本站可以下载）-Contains algorithm such as FuzzyKMeans, FuzzyGK, FuzzyR. Extends weka(it is can be download form this site)

基于svm的机器学习文本分类方法，具有很好的借鉴意义-Svm-based machine learning text classification methods, with a good reference

HopfieldnetC++source，Hopfield网络的原代码。C++代码-HopfieldnetC++ Source, Hopfield networks, the original code. C++ Code