资源列表
yongBPshengjingwangluoshixiantonghuo
- 一个用BP网络实现同或的源代码！很适合初学者了解神经网络算法原理~!值得推荐哦-a BP network or with the source code! Very suitable for beginners to understand neural network algorithms for ~! Recommendable oh
FPtree
- 关联规则挖掘算法FPtree的源代码，是一种不必产生候选集的关联规则挖掘算法-association rule mining algorithm FPtree of source code, is a candidate need not have a set of association rules mining algorithm
Adptive
- 神经网络的自适用算法，利用神经网络对系统辨识和跟踪。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-neural network algorithm applied since the use of neural network system identification and tracking. This procedure c mixed language and Matlab programming, C language algorithms fro
SysIdentify
- 用神经网络对系统辨识(BP网络)。此程序为c语言和matlab混和编程，由c语言实现算法，由matlab来显示图形。-using neural network system identification (BP). This procedure c mixed language and Matlab programming, C language algorithms from Matlab to display graphics.
mavis-alpha20061213
- 机器人程序，有对象识别，IO控制，图像处理等方面算法-robot procedures, object recognition, IO control, image processing algorithms etc.
200551517426
- 此源码为vc++实现的小波算法,可以对图像进行三次小波变换-this source of vc realization of wavelet algorithm, the image of three wavelet transform
ModelObjRecog_Ver5.3.tar
- Standard model object recognition matlab code-Standard model object recognition Matlab code
RBFc++
- RBFc++.rar神经网络 RBFc++.rar神经网络-RBFc. Rar RBFc neural network . Rar neural network
novel_pso
- 一种新的蜂群算法，优化能力超强！！！，还可以用于其他应用，例如特征选择当中-a new colony algorithm optimization capabilities super! ! ! Can also be used for other applications, such as the choice of which
ifdef
- 人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对OPENCV 3.1 版本发布的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR 01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。 -Face Detecti
apriorisourcecode
- java实现apriori源代码欢迎下载-java achieve apriori welcome download the source code
ANNApp
- 演示在角色扮演游戏中如何利用人工神经网络进行智能分类的训练，VC-demonstration in the role-playing game in which the use of artificial neural network classification of intelligent training, VC