基于遗传神经网络的图像分割系统源代码，下载后直接使用

MILK 提供了一个实现和比较multi-instance学习算法的环境，基于weka机器学习系统（本站可以下载）-MILK provides a comparison and achieve multi-instance learning algorithm, based on machine learning system weka (site can be downloaded)

粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks

用于求解TSP问题的matlab程序，能直接运行-BasicAntColon AlgorithmmatlabforTSP

这是一个数据挖掘中的关联规则挖掘的经典算法：Apriori算法的程序-This is the code of Apriori-the classical algorithm used in Association Rules of Data Mining

neural networks applications

IEEE中关于MRI脑图像模糊分割的相关文章，2007-2008年度最新-IEEE on MRI fuzzy segmentation of brain images related article ,2007-2008 annual update

使用蚁群算法解决旅行商问题，mfc应用程序，城市数目及坐标在eil51.tsp里-use ant algorithm to solve the traveling salesman problem, and mfc applications, The number of cities and coordinates the eil51.tsp Lane

免疫算法求解函数优化问题运行时请选择所要的函数,并且点Button1执行-immune function algorithm optimization runtime please select the function and implementation point Button1

车牌识别程序，演示车牌识别程序，演示车牌识别程序，演示车牌识别程序，演示

The tca package is a Matlab program that implements the tree-dependent component analysis (TCA) algorithms that extends the independent component analysis (ICA), where instead of looking for a linear transform that makes the data components independent, we are looking for components that can be best fitted in a tree structured graphical model. The TCA model can be applied in any situation where the data can be assumed to have been transformed by an unknown linear transformation.