机器学习讲义机器学习很好的材料内容很全面

是实现关系型贝叶斯网络一中机器学习算法，从国外相关研究人员的主页上下载收集。

基于信息熵的免疫算法，解决TSP问题的，但是我也是初学，这个看不太明白，共享一下吧-Entropy-based immune algorithm to solve TSP problem, but I am also a beginner, do not quite understand this view, share yourself

SOM算法,matlab程序,是经典的教科书的例子程序-SOM algorithm, Matlab procedures, are classic textbook example of procedures

神经网络程序设计，遗传算法-neural network programming, genetic algorithm

这个主要介绍会计中软件的应用和会计电算法，里面含有一些讲稿和题目-This focuses on the application of accounting and accounting software, power algorithm, which contains a number of lectures and topics

遗传算法求解TSP问题-genetic algorithm for TSP

我们解决八数码问题,广度优先搜索可能会导致内存不够用,采用启发式搜索,启发函数为f(x)=g(x)+h(x) g(x)为该结点不同于目标结点的个数,h(x)为该结点的深度,选择那f(x)结点最小的那个结点进行扩展, 引入了一个"扩展数组[4]"(因为扩展的结点最多只有4个),该数组保存着某个结点的0点向各个方向的扩展的结点对象,然后对该扩展数组进行分析,利用启发函数在进行递归扩展... -us solve eight digital, BFS may lead to insufficient memory, using heuristic search, heuristic function f (x) = g (x) h (x) g (x) for the target node is different from the number of nodes, h (x) for the nodes of depth, the choice between f (x) nodes that the smallest node expansion. the introduction of an "expanded array [4]" (because the expansion of the nodes at most four), The array maintains a node of 0:00 a.m. to expand in all directions in the target node, and then expanded array analysis, use heuristic function during recursive expansion ...

基本遗传算法 里面的函数可自行更换 适合初学者 容易理解-A function of the basic genetic algorithm which can be suitable for beginners is easy to understand on their own replacement

simple implement of genetic algorithm on cards

有指导的马尔可夫随机场（MRF）的图像分割代码，是有指导的方式（即用鼠标框出分类样本区域）。采用OpenCV编写。-Has guided Markov Random Field (MRF) image segmentation code, is guiding the way (that is, a classification of the box with the mouse sample region). Prepared using OpenCV.