资源列表
TSP.rar
- 采用visual c解决tsp问题。里面有遗传算法的选择、交叉、变异函数。,Using visual c solve the problem tsp. There are genetic algorithm selection, crossover and mutation functions.
MATLAB.rar
- matlab，时间序列，神经网络，预测，控制,matlab, time series, neural networks, prediction, control
mpso1.rar
- 这是一个经过改进的PSO算法，是用FORTRAN语言编写的，因为此语言计算速度快，适合PSO的应用，收敛速度明显加快，并且这是改优化后的PSO程序，比标准的速度快。,This is an improved PSO algorithm, are used FORTRAN language, because this language computing speed, suitable PSO applications, significantly speeding up the convergen
NcutClustering.rar
- 这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。,This is a matlab procedures for the spectral clustering.The method is effective for data classification.
VideoCapture.rar
- 用C++语言实现的视频人脸识别技术，这个是我的毕业设计在这里和大家分享！代码我已经跑过！ok的！,Using C++ language of the video face recognition technology, this is my graduation project to share with you all here! I have ran the code! ok the!
KPCA.zip
- kPCA程序 一个关于kernel pca的实现代码,kpca
incrementsvm.rar
- 实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度。。,To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .
LPC936.rar
- philiph单片机P89LPC936经A/D采样后的数据，通过串口向外发送，包含此款单片机的端口设置和A/D，UART口的设置等,philiph MCU P89LPC936 through A/D sampled data, send out through the serial port, including port settings and Cikuan microcontroller A/D, UART port settings, etc.
SVM-neural-network-prediction
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network prediction data classification- identifying wines
NSGAII.rar
- 实现遗传算法（GA）的多目标优化算法：NSGA-II的MATLAB程序,The realization of genetic algorithms (GA) of the multi-objective optimization algorithm: NSGA-II of the MATLAB program
cellga.rar
- 多种群的链式智能体遗传算法，代码及其用于优化的实验结果都在里面。大家用了最好给点评价，建议只作为研究用。我有相关的论文，需要索取的话，请与我联系,Multi-population of chain-agent genetic algorithm, the code and to optimize the experimental results are inside. We use the best rating to the point, it is recommended only for
parzen.rar
- 用parzen窗方法，估计概率密度，采用高期核函数。。。。,With parzen window means of estimating the probability density function using high nucleus. . . .