Computer Science ›› 2008, Vol. 35 ›› Issue (3): 134-136.

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YU Jia-Yuan ,WANG Cun-You (Department of Psychology, Nanjing Normal University, Nanjing 210097)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: 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

Key words: General regression neural networks, Item bank, Item response theory, Parameter estimation, Small sample

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