资源列表
tsp-matlab--wang
- TSP问题 旅行商问题 用MATLAB实现 遗传算法-TSP problem traveling salesman problem with MATLAB genetic algorithm
touyingxunzong
- 基于遗传算法工具箱的投影寻踪方法的优化代码,一个是目标函数,一个事约束条件函数,使用时将其放在工具箱合适的窗格即可。-Toolbox based on genetic algorithm optimization of projection pursuit method code, an objective function is a matter constraint function, use the toolbox to the right of the pane can be place
HOPFIELD
- Hopfield Model Autoassociative Memory 源码, 经典的HOPFIELD人工神经网络例子源码-Hopfield Model Autoassociative Memory source, HOPFIELD classic example of artificial neural network source
RBF
- 利用RBF进行时间序列的预测,可用于故障诊断中的参数估计和预测-Use of RBF for time series prediction can be used for fault diagnosis of parameters estimates and projections
Lin-Kernighan
- Lin-Kernighan聚类算法源代码,下载后可以直接编译执行-Lin-Kernighan clustering algorithm source code, download directly to compile the implementation of
5v5
- 微软(MS)轮式足球机器人5v5决策代码 可用visual studio 2008编译-Microsoft (MS) wheeled robot soccer 5v5 decision-making code compile available visual studio 2008
ANN
- 实验使用BP神经网络来逼近一个较复杂的正弦函数,并观察BP神经网络的各个参数对BP神经网络的影响.-Experimental use of BP neural network to approximate a more complex sine function, and to observe the parameters of BP neural network on the impact of BP neural network.
ELM_EELM_YELM
- ELM和ELM_2是现在流行的超强学习机(也叫极限学习机)源码 EELM是有效ELM的源码 (EELM发表于neuralcomputing ,作者:yuguangwang) YELM是一种改进的ELM的源码(已发表,作者:yuboyuan) 这个程序是三者的方法比对。 相关理论,可以用作者找文章。 运行时,要运行pendigits_mean就可以了!-extreme learning machine and effective learning machin
ANN
- 介绍了,人工神经网络网络的基本原理。并介绍了其应用。-Introduced, artificial neural network the basic principles of the network. And describes its application.
MLToolbox2004
- 麻省理工学院的人工智能工具箱,很珍贵,希望对大家有用!-Massachusetts Institute of Technology s artificial intelligence toolbox, it is precious and useful for all of us hope!
Bp
- 利用Bp神经网络实现的两类分类程序,程序简单明了,初学者也看得懂。-Bp neural network using two types of classification procedures, the program is simple, beginners can understand.
sir
- 粒子滤波中的标准算法SIR算法,采用多项式重采样-Standard algorithm SIR particle filter algorithm using polynomial resampling
