Funder
National Natural Science Foundation of China
Research Program Funds of the Collaborative Innovation Center of Assessment for Basic Education Quality
Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., ..., Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In: Osdi (vol. 16, pp. 265-283).
2. Abiodun, O. I., Jantan, A., Omolara, A. E., Dada, K. V., Mohamed, N. A., & Arshad, H. (2018). State-of-the-art in artificial neural network applications: A survey. Heliyon, 4(11), e00938.
3. Abu-Naser, S. S., Zaqout, I. S., Abu Ghosh, M., Atallah, R. R., & Alajrami, E. (2015). Predicting student performance using artificial neural network. In: The faculty of engineering and information technology.
4. Agrawal, P., Girshick, R., & Malik, J. (2014). Analyzing the performance of multilayer neural networks for object recognition. In: Computer vision-eccv 2014: 13th European conference, Zurich, Switzerland, september 6-12, 2014, proceedings, part vii 13 (pp. 329–344).
5. Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. Statistical Theories of Mental Test Scores.