LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)
标签： Quantization Learning Vector LVQ
上传时间： 2015-08-31
上传用户：youke111
soda machine的实现,可以进行完整的simulation,但是在实现的时候有一点问题
标签： simulation machine soda
上传时间： 2013-12-13
上传用户：guanliya
support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1
标签： classification support machine Ltrain
上传时间： 2015-09-04
上传用户：问题问题
DOA estimation methods
标签： estimation methods DOA
上传时间： 2015-09-06
上传用户：daoxiang126
2005 Center for Biological & Computational Learning at MIT and MIT All rights reserved. Permission to copy and modify this data, software, and its documentation only for internal research use in your organization is hereby granted, provided that this notice is retained thereon and on all copies. This data and software should not be distributed to anyone outside of your organization without explicit written authorization by the author(s) and MIT.
标签： Computational Biological MIT Permissio
上传时间： 2014-01-27
上传用户：gaome
《Learning Perl》英文第三版，perl语言入门的经典之作，非常适合初学者自学，内容详细，解释清晰。
上传时间： 2014-01-10
上传用户：z1191176801
《Learning Perl Objects References And Modules》英文版，详细介绍了perl语言中的对象引用和模块，是一本深入了解perl语言的好书。
标签： References Learning Objects Modules
上传时间： 2013-12-11
上传用户：zxc23456789
some csh scripts, for example, you can find the best machine with light loading, you can find a special process on a list of server.
上传时间： 2015-09-08
上传用户：ve3344
cshell learning book for entry level
标签： learning cshell entry level
上传时间： 2014-01-07
上传用户：windwolf2000
Learning GNU Emacs,Emacs最全面的教程,此为第三版
上传时间： 2015-09-12
上传用户：cccole0605
