用人工神经网络的bp的方法解决异或问题

本程序可以对输入.avi 序列中的车辆数进行计算，准确性非常高，是一个值得参考的代码:)-This procedure can be input. Avi sequence to calculate the number of vehicles, accuracy is very high, is a reference to the code:)

贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法，是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on the simple Bayesian classifier of the definitive text classification algorithm, which is known text classification algorithm the most effective one category

这是IBM公司使用的一个生成数据流的源文件代码，对需要生成数据流做实验的朋友很有帮助。-This is IBM" s use of a data stream generated source file code, on the need to generate data flow experiment" s friends helpful.

王小平《遗传算法――理论、应用与软件实现》随书光盘，内容有： GA 本书中所附源程序C或C++代码文件及其可执行文件 Scs.cpp 基本分类算法源程序，输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt,rfile.txt,tfile.txt Sga.c 基本遗传算法源程序, 输入数据文件input，输出文件output A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample Patmat.c 基于遗传算法提取基元图形源程序 Sources 遗传算法相关自由软件及代码。-Wang Xiaoping,

一个自主机器人的电力传输线检查可引起电压的输电线路作为电源来源提出。该机器人采用电流互感器的主要促使目前从输电线路和远见功能浏览。结果表明，该机器人可以 自动沿着输电线路。-An autonomous robot for the power transmission line inspection that can induce the voltage from the transmission line as a power source is presented. The robot uses current transformer principal to induce the current from power transmission line and vision function to navigate. The results have shown that the robot can automatically move along the power transmission line.

使用R语言的马尔科夫链蒙特卡洛模拟（MCMC）源代码程序。-R languages using Markov chain Monte Carlo simulation (MCMC) procedures for source code.

神经网络已经得到广泛应用，这里是一个模糊神经网络的matlab程序-Neural network has been widely used, there is a fuzzy neural network matlab program

基本遗传学习分类系统算法，算法结构非常严谨，是不可多得的遗传算法！-basic genetic classification system algorithm, the algorithm as well as highly structured, is a rare genetic algorithm!

运用神经网络的方法先将数据分类分析,然后再将未知类归类-The use of neural network analysis of data classification methods first, and then classify the unknown category

复数信号的FASTICA算法，和ICA算法类似，但主要用于处理复数信号。-Plural signals FastICA algorithm, and the ICA algorithm similar to, but mainly used for dealing with a plurality of signals.