基于改进SVM的特征选择，可以帮助大家认识SVM

face recognition test source code

经典的BNP神经网络例子-classic example BNP neural network

CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance representation

一个牛人的神经网络支持向量机程序,对于搞神经网络的朋友强烈推荐.第二部分-A wonderful program of svm code coming from a superman,and strong recommendation to someone who learn about pattern-recognition .The second part.

BP智能岩土工程，为初学者提供学习。高手可以进行更改程序不能处理大数据量的错误。-BP smart geotechnical engineering, to beginners learning. Experts can not change procedures to deal with the large volume of data errors.

人脸检测源代码,是人工智能检索方面比较常用的,大家下班啊-Face Detection source code, artificial intelligence search area is relatively common, we work ah

two Matlab functions for initializing and training a recurrent neural network -two Matlab functions for initializing and training a recurrent neural network

单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.

识别动物的专家系统,包括长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统,表现了专家系统的框架结构-Expert system to identify animals, including giraffes, zebras, ostriches, penguins, albatrosses and other seven animals, a simple expert system, the performance of the expert system framework

无约束条件的模拟退火算法 -Unconstrained conditions of simulated annealing algorithm