资源列表
svmexamples
- 支持向量机应用的实例,希望对大家有用!支持向量机应用的实例,希望对大家有用!-Application of support vector machine example, in the hope that useful! Support vector machine Examples of applications, in the hope that useful!
genetic_algorithm
- MPI实现遗传算法,为了方便大家使用压缩包中还加入了文档说明,学习MPI的朋友可以-MPI realization of genetic algorithm, in order to facilitate the use of compression package also joined the document explains, learning MPI friends can
lyfNN
- 李亚非老师的神经网络教程.ppt,挺简单的,按照课件一步步做让你轻松掌握神经网络,适合初学者-Li non-teacher neural network tutorial. Ppt, very simple to do step by step in accordance with the courseware allows you to easily grasp the neural network is suitable for beginners
BP_xoBox
- 各种BP网络训练样本,如倒立摆,双螺旋线,双积分系统等-A variety of BP network training samples, such as the inverted pendulum, double helix, double-points system, etc.
SVM_tank
- 一个支持向量机的坦克识别程序,希望大家多提宝贵意见!-A support vector machine tanks identification procedures, hope that we talk too much about the valuable advice!
YYTSP
- 神经网络TSP算法,VC++程序 神经网络TSP算法,VC++程序-TSP algorithm neural network, VC++ Procedure neural network TSP algorithm, VC++ Procedures
k-means
- 关于数据挖掘中的k-means算法的一种C语言实现-Data Mining on the k-means algorithm as a C language
Apriorisimplement
- 本代码实现了数据挖掘中的一个经典算法Aprioris 。在此算法中,通过对平凡集的优化使其更加的完备也更加的有效。-The code to achieve the data mining algorithm in a classical Aprioris. In this algorithm, through an extraordinary set of optimization to make it more complete and more effective.
HR
- 是关于神经网络的人工智能编写,是基于P编程的代码-On neural network artificial intelligence preparation is based on the P-programming code
yichuansuanfayouhua
- 标准遗传算法的C语言实现,用于对函数的优化,有着较快的执行速度。-Standard genetic algorithm to achieve the C language, used for function optimization, has a faster speed of execution.
bashumawenti
- 这是一个八数码问题代码。可以很清楚的看到它整个执行过程,手动的 做成功。-This is a question of the eight digital code. Can clearly see it throughout the implementation process, done manually success.
k_mean_cluster
- 通过c语言实现k_mean聚类算法,是最简单的聚类算法,欢迎参考-Through c language k_mean clustering algorithm, is the simplest clustering algorithm, welcome reference
