%0 Journal Article
%T Applications of Artificial Neural Network in Slag Glass-Ceramic Expert System<br>矿渣微晶玻璃材料设计神经网络模型
%A WEN Qi-Ye
%A ZHANG Pei-Xin
%A ZHANG Huai-Wu
%A <br>文岐业
%A 张培新
%A 张怀武
%J 无机材料学报
%D 2003
%I Science Press
%X Artificial neural network was introduced into slag glass-ceramic material designing. A 3 layers feedforward network was built with a new robust learning algorithm, based on a concept of " entire error modifying ". The network has a excellent learning ability when its topology is M-2M-1 and an appropriate study error chosen. The research results show that this slag glass-ceramic neural network is robust, quick and stable in training and data predicting, which can disclose the relationship of elemental compositions, structure and material properties of slag glass-ceramic effectively, even if some parameters are absent in samples.
%K artificial neural network
%K slag glass-ceramic
%K material designing<br>人工神经网络
%K 矿渣微晶玻璃
%K 材料设计
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=84529CA2B2E519AC&jid=ABC0063016AF57E1C73EF43C8D2212BD&aid=E30CAB80CD8C2572&yid=D43C4A19B2EE3C0A&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=B4F9D541F855CF96&eid=6D6B4A516C7DB6EE&journal_id=1000-324X&journal_name=无机材料学报&referenced_num=6&reference_num=12