%0 Journal Article
%T Method of Item Parameter Estimation Based on Neural Networks
基于神经网络的项目参数估计方法
%A YU Jia-Yuan
%A WANG Cun-You
%A
余嘉元
%A 汪存友
%J 计算机科学
%D 2008
%I
%X To solve the problem on item parameter estimation when constructing item bank,a new method based on neural networks (NN) is proposed here. And by choosing three-parameter logistic model (3PLM),general regression neural networks (GRNN) and Monte Carlo as the item response theory (IRT) model,NN model and experimental method respectively,some simulation experiments are conducted. To inspect whether our method works well,a comparison is carried out between the NN method and traditional method,which indicates th...
%K General regression neural networks
%K Item bank
%K Item response theory
%K Parameter estimation
%K Small sample
广义回归神经网络
%K 题库
%K 项目反应理论
%K 参数估计
%K 小样本
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7932BFFCC886BD91C364D713DE5F9AD4&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=03A030BB0C519C60&eid=58F693790F887B3B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9