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基于IRT模型的BP神经网络降维法参数估计及其应用
引用本文:谭云兰,丁树良,辛锐铭.基于IRT模型的BP神经网络降维法参数估计及其应用[J].江西师范大学学报(自然科学版),2004,28(6):485-488.
作者姓名:谭云兰  丁树良  辛锐铭
作者单位:1. 井冈山学院,计算机系,江西,吉安,343009
2. 江西师范大学,计算机信息工程学院,江西,南昌,330027
基金项目:国家自然科学基金(60263005)和全国教育科学规划重点课题(DBB010501)及江西省自然科学基金(0411021)资助项目.
摘    要:该文对应用BP神经网络和降维法相结合在0—1记分模式下估计项目参数和考生能力的方法作了概述,重点是对该方法如何应用于实际进行探讨。

关 键 词:降维法  考生  IRT  实际  能力  记分  模式  参数估计  对应
文章编号:1000-5862(2004)06-0485-04

The Reduced Dimension Method of Parameter- Estimation Using BP Neural Network and Its Application Based on Item Response Theory
TAN Yun-lan,DING Shu-liang,XIN Rui-ming.The Reduced Dimension Method of Parameter- Estimation Using BP Neural Network and Its Application Based on Item Response Theory[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2004,28(6):485-488.
Authors:TAN Yun-lan  DING Shu-liang  XIN Rui-ming
Institution:TAN Yun-lan~1,DING Shu-liang~2,XIN Rui-ming~2
Abstract:The item parameters and the person ability parameter in Logistic Models based on IRT are estimated with Back-Propagation Neural Network. The dimension of scoring matrices X is reduced by using scoring rate, passing rate, coefficient of correlation, guess rate when estimating corresponding ability parameter and item parameters. The results drawn from Monte Carlo study show that the item parameters estimation is more precise than the current prevailing softwares.The focus of this paper is to discuss how to apply this estimation method to practice.
Keywords:Item Response Theory  item parameter estimation  Back-Propagation neural network  reduction of dimension  application
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