资源列表
satsp
- 这是一个SA求解tsp旅行商的matlab源代码，由m文件构成，可方便大家学习模拟退火算法。-This is a traveling salesman tsp SA for the Matlab source code, document constitute m, can facilitate learning simulated annealing.
suijiPSO
- 保证全局收敛的随机粒子群优化算法,对于高维函数有较强的全局收敛性.-ensure global convergence of random PSO algorithm for high-dimensional functions is a strong global convergence.
GAoptimizeBP
- 一个遗传算法优化神经网络权值的实例，包含了GA工具箱，和说明文档。-a genetic algorithm to optimize the weights of the neural network examples include GA toolbox, and documentation.
assciationDelphi
- 关联规则算法的实现和表示Delphi源码-association rules and the implementation of the algorithm source said Delphi
dscl
- 实现的用分辨矩阵及分辨函数寻求所有最小约简的算法及整个实现过程。-achieve the matrix used to distinguish and distinguishing function for all of the smallest reduction algorithm and the entire implementation process.
wit
- 武汉工程大学曾经参加过仿真机器人世界杯的源程序，里面有详细的功能解释-Wuhan University of Engineering have participated in the simulation of the source Robot World Cup, with a detailed explanation of the function
SIFT-06-10-21
- 去年暑假编的SIFT特征提取算法，步骤作了详细叙述，其中用到几个OPENCV读取图片函数。解压密码jlh。-last summer addendum to the sciences feature extraction algorithm, described in detail the steps, Some of them used to read Photo OPENCV function. Jlh extract passwords.
MeanShiftTracking
- 国外一个大牛人写的MEAN-SHIFT目标跟踪算法，程序使用了OPENCV函数库。-abroad a large cattle written by MEAN - SHIFT target tracking algorithm, OPENCV procedures for the use of the libraries.
wavepacket
- 小波包分解和重构vc++完全代码，非常好的东西，内容全面，重点推荐！-wavelet packet decomposition and reconstruction vc complete code, very good things, a comprehensive and focused recommended!
networkprograms
- 一些MATLAB的程序,,其中有BP神经网络集成的程序,在数据处理时采用归一化函数-some procedures, including BP network integration procedures, In data processing used to a function of
bp+rbf
- 用hopfield写的训练0-9数字的识别!精底很高!效果很不错!!基本可以识别!-used to write the training hopfield 0-9 digit identification! Precision high end! Very good results! ! Basic can be identified.
Random_Forest_fortran
- 加洲大学Leo Breiman编写的Random Forests(随机器森林)各个版本的fortran代码 可以实现分类,以及回归!-University of California Leo Breiman prepared by Random Forests (random for forest ) fortran various versions of the code can be achieved classification and regression!