%0 Journal Article
%T NEUKAL NETWORK MODEL OF CLUSTER ANALYSIS FOR THE CLASSIFICATION INDEXES OF GATE<br>回采巷道分类指标的神经网络聚类分析模型
%A Tan Yunliang
%A <br>谭云亮
%A 王泳嘉
%J 岩石力学与工程学报
%D 1995
%I 
%X A nonsupervised learning neural network cluster model is built by comparing supervised algorithm,and the classification indexes of gate is analysed in this paper.The result shows that indexes in a cluster gained by above model reflect the attributes of gate in the same or near the same way.It not only provides the base for recognizing the type of gate correctly,but also is of important consulting values in mine,railway,and geotechnical en- gineering etc.
%K neural network
%K supervision
%K cluster analysis
%K gate
%K classiflcation<br>回采巷道
%K 神经网络
%K 聚类分析模型
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=7046B9DEEE6960635AAADAD38ED6230B&yid=BBCD5003575B2B5F&vid=F3583C8E78166B9E&iid=0B39A22176CE99FB&sid=12DC19455C3A2FA8&eid=3986B25773CB6C30&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=12&reference_num=4