Research on the Improvement of IRT Item Parameter Estimation Algorithm

Focusing on the deficiencies of the existing IRT parameter estimation algorithm, the Resilient Back propagation algorithm and variable learning rate learning algorithm are used in the basis of artificial neural network algorithm to improve the network convergence speed, and the genetic algorithm is used to solve the local minima problem, then the improved BP algorithm is generated. Finally, the standard BP algorithm and the improved BP algorithm are realized through MATLAB. Experiments show that the improved BP algorithm compared with the standard BP algorithm improves the network accuracy, and accelerates the training speed and becomes a better parameter estimation method.