The self-organizing list machine comprises an array of symbol index generators, wherein (i) each symbol index generator has a unique location in the array between zero and N1 inclusive, and (ii) N is the total number of unique symbols in a symbol alphabet.Douglas Edward Hundley...
Self-Organizing List 作者: Greer, Noelia Penelope 页数: 80 ISBN: 9786138583868 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我来说两句 短评 ··· 热门 / 最新 / 好友 还没人写过短评呢 我要写书评 Self-Organizing List的书评 ··· ( 全部0 条 ) 论坛 ··· ...
PROTOCOL AND STRUCTURE FOR MOBILE NODES IN A SELF-ORGANIZING COMMUNICATION NETWORK A self-organizing network characterized as having a number of nodes, with at least one control node of the nodes operable to control one or more of the formation, maintenance and message routing between nodes of th...
美['selfˌɔgənaɪ'zeɪʃən] 是什么意思 n. 组织工会;自组织; 英英释义 self-organization[ 'self,ɔ:ɡənai'zeiʃən, -ni'z- ] n.organizing yourself (especially organizing your own labor union) 同义词:self-organisation ...
Unsupervised self-organizing maps (SOMs), as well as supervised learning by Learning Vector Quantization (LVQ) can be defined for string variables, too. Their computing becomes possible when the SOM and the LVQ algorithms are expressed as batch versions, and when the average over a list of symb...
The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest among researches and practitioners in a wide variety of fields. The SOM has been analyzed extensively, a number of variants have been developed and, perhaps most notably, it has been applied extensively within fields...
[,2]late.icm_cluster<-as.numeric(late.icm_cluster)late.icm_cluster_gene<-rownames(sample)[which(som_model$unit.classif%in%late.icm_cluster)]author_res1<-as.character(author_res$V1[author_res$V2=="comp. MOR"])library(UpSetR)x<-fromList(list(author=author_res1,mine=late.icm_cluster_...
self-organizing map(SOM) 是一种被无监督学习训练产生的一个低维(通常为二维)的人工神经网络,可作为一种进行降维的方法。在高通量测序数据中可作为一种将不同样本的特征聚类的可视化方式。 R 实现:oposSOM包 oposSOM软件包仅需要输入以基因表达矩阵数据,例如经过标准化处理microarray 数据或RNA-seq数据。
Self Organizing Maps MiniSom is a minimalistic and Numpy based implementation of the Self Organizing Maps (SOM). SOM is a type of Artificial Neural Network able to convert complex, nonlinear statistical relationships between high-dimensional data items into simple geometric relationships on a low-dimen...
The supplementary configurations showing the trade-off between the self-organizing tendencies and anchoring mechanism to the terrestrial stations are shown in Figure 4. Visualization is provided for the evolution of the simulated internal configuration of the swarm projected onto the x , y plane. Due...