资源列表
main
- 一个用python编写的带交叉验证的SVM分类程序，前提是必须正确安装里面所用到的Python库-Written in python with a cross-validation of SVM classification procedures, must be properly installed inside the premise is used by the Python library
零阶保持器仿真代码
- 零阶保持器仿真代码，已通过matlab编译，实现零阶保持器基本功能
pso
- 这是很好的粒子群算法.代码有注释.C++下可以运行.-This is a very good particle swarm optimization. Annotated code. C++ to run under.
bp
- BP神经网络源程序,一个很好BP神经网络程序.C语言编写.程序比较简洁
bestsearch
- 分支定界，找出最优解，此编程是以六个特征为例进行编程的。-Branch and bound, to find the optimal solution, this program is based on six characteristics of the program as an example.
iriscloud
- 非常高兴认识大家，希望大家以后能多多帮助我，我谢谢你们了
nfgh.rar
- 用于实现农夫过河问题,使农夫 狼 羊 蔬菜可以安全过河,For the realization of farmers across the river, so that the wolf sheep farmer vegetables can safely cross the river
c++ingenetic
- 很好的关于遗传算法的c程序，编的比较简单移动，是初学者的好程序-Very good on the genetic algorithm c procedures, provision of relatively simple movement is a good program for beginners
NN
- 本程序是利用神经网络来计算五个城市的最短距离-This procedure is the use of neural networks in five cities to calculate the shortest distance
pso_2D
- 一个应用粒子群优化算法进行智能寻优的实例，简单易懂，对于了解粒子群算法非常有帮助哦！-An application particle swarm optimization algorithm of intelligent optimization example, easy to understand, to understand the particle swarm algorithm is very helpful!
Exercise4-PCA-and-Whitening
- http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening斯坦福的深度学习的教程的练习，是关于数据预处理的-http://deeplearning.stanford.edu/wiki/index.php/Exercise:PCA_and_Whitening Stanford deep learning tutorial exercises about data preprocessing
cmac
- 小脑模型c函数实现 比较简短的一个实现