资源列表
rangedataread
- 点云预处理时，需要将.abs压缩格式转化为.asc格式，同时需要得到深度图像。本程序完成这一功能。这可是一般都不会拿出来的。-point cloud, it needs to be. Abs into compressed format. Asc format, also need to be depth images. The procedures are completed this function. But it will not usually take to work.
BP_fruit
- BP神经网络的一个应用示例：水果识别。先学习，然后根据输入的三个0，1值用BP神经网络计算出结果。-Neural Network Application Example 1 : Recognition fruit. First learn, and then import the 3 0, with a value of BP neural network calculation result.
simulatetemperature
- 采用C语言编制的模拟退火地震理论波形反演程序-C language of the theory of simulated annealing seismic waveform inversion procedure
KNN_C++
- 有关于KNN的C++源码(很经 典的)-on KNN C source (classic)
svmsm
- SMO算法的Matlab实现，花了很大的力气才弄出来的！和大家分享！更多就在我的主页访问吧：http://huangbo929.blog.edu.cn-SMO algorithm Matlab, spent a lot of time and energy only get out! And to share with you! More on the home page I visit it : http://huangbo929.blog.edu.cn
gadecod
- 转载得有关利用遗传算法优化bp神经网络得源程序中得有关解码函数编写-reproduced in the use of genetic algorithm optimization bp neural network in the source decoder functions in the preparation
PathFinder2D
- a星路径规划，各种方式的实现，用于二维路径查找算法，（包括使用数组，链表，堆的实现）各种搜索算法-a path-planning, the realization of various ways, for two-dimensional path search algorithms, (including the use of arrays, linked lists, Stack achieved) search algorithm
bayes.c
- 两类正态分布模式贝叶斯分类算法源程序，用c语言实现的-two normal mode Bayesian classification algorithm source files, using the C Language
MCP(maxcut)
- 该程序是利用MATLAB算法中模拟退火应用中得最大截问题得解决-the program is using MATLAB algorithm simulated annealing applications largest closed issue resolved
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.