遗传算法，包括选择、交叉、变异操作等，…

HMM的C语言实现.很有用的模式识别程序-HMM of the C language. Very useful pattern recognition procedures

这是著名的Tsai摄像机内外参数标定的源码，可以应用在计算机视觉计算中。-This is the famous Tsai camera calibration parameters of the internal and external source, for use in computer vision calculation.

模式识别与人工智能，圆检测HOUGH变换的改进算法-Pattern Recognition and Artificial Intelligence, HOUGH transform circle detection algorithm to improve

模式识别的中科院的课件，对学习或考试都很有帮助-Pattern Recognition, Chinese Academy of Sciences of the courseware, learning or examination are helpful

神经网络遗传算法的一个简单例子代码，开发神经网络遗传算法的第一步-neural network genetic algorithm code a simple example, the development of neural network genetic algorithm first step

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

无先导粒子滤波器工具箱，并附带pf，kf，Ukf程序，用于跟踪估计-without leading particle filter toolbox and fringe pf, kf, Ukf procedures for tracking estimates

此文档是遗传算法原理加源代码。 生物的进化是一个奇妙的优化过程，它通过选择淘汰，突然变异，基因遗传等规律产生适应环境变化的优良物种。遗传算法是根据生物进化思想而启发得出的一种全局优化算法。 -This document is the principle of genetic algorithm source code increases. Biological evolution is a wonderful optimization process, it eliminated by choosing a sudden variation of genetic and other changes in the law to adapt to the environment arising from the fine species. Genetic algorithm is based on ideas of biological evolution and the inspiration derived from a global optimization algorithm.

这是反向传播算法的C++程序，对于研究BPNN的人来说，具有很好的参考价值-This is the back-propagation algorithm C program for studying the BPNN people, have a good reference value

weka机器学习系统（本站可下载）的拓展，简化了从关系数据库中提取数据-weka machine learning system (download site), the development of a simplified relational database from which to extract data