%0 Journal Article
%T Data Fusion of Numerical-Linguistic Based on Granular Neural Networks<br>粒度神经网络对数字语言的数据融合
%A 行小帅
%A 焦李成
%J 计算机科学
%D 2002
%I 
%X This paper presents a neural networks based knowledge discovery and data mining (KDDM) methodology based on granular computing, neural computing,fuzzy computing, linguistic computing, and pattern recognition. A granular neural network (GNN)is designed to deal with numerical-linguistic data fusion and granular knowledge discovery in numerical-linguistic databases. The GNN is able to learn internal granular relations between numerical-linguistic inputs and outputs, and predict new relation in a database.
%K Granular neural networks
%K Data fusion
%K Data mining
%K Knowledge discovery<br>粒度神经网络
%K 数字语言
%K 数据融合
%K 知识发现
%K 数据挖掘
%K 数据库
%K 人工智能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=46A5BD6B17699959&yid=C3ACC247184A22C1&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=1371F55DA51B6E64&eid=BE33CC7147FEFCA4&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9