Scalable k

自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..

利用OPenCV写的一个hough变换检测直线的程序-OPenCV written using a hough transform line detection procedure

Lin-Kernighan heuristic for the TSP and minimum weight perfect matching

人工智能8数码问题-artificial intelligence problem

直觉模糊代数，是学习的一篇好文章，值得-intuition fuzzy algebra, the study is a good article, it is worth a look at

基于梯度法编写的RBF神经网络程序，实现对输入数据的逼近-Gradient method based on the preparation process of the RBF neural network to achieve the approximation of the input data

机器博弈机器搜索算法的研究，做acm与人工智能的可以参考下-Machine Game Machine search algorithm research, acm to do with artificial intelligence can refer to the next

c语言实现人工智能神经元网络boltzman算法源码-c language artificial intelligence neural network algorithm source Boltzman

使用R语言的马尔科夫链蒙特卡洛模拟（MCMC）源代码程序。-R languages using Markov chain Monte Carlo simulation (MCMC) procedures for source code.

dv-hop的定位算法，已知网络中几个锚节点就可以计算出网络中其他点的坐标，但这种算法有时由于网络密度的稀疏，可能误差会有一些-dv-hop positioning algorithm, known to the network a few anchor nodes on the network can calculate the coordinates of other points, but this algorithm is sometimes due to the sparse network density may be some errors