References
- Andrews, R., J. Diederich, and A. B. Tickle. 1995. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-based Systems 8 (6):373–89. doi:10.1016/0950-7051(96)81920-4.
- Fu, L. 1991. Rule learning by searching on adapted nets. In AAAI. vol. 91, 590–95.
- Fu, L. 1994. Rule generation from neural networks. IEEE Transactions on Systems, Man, and Cybernetics 24 (8):1114–24. doi:10.1109/21.299696.
- Fu, L.-M. 1993. Knowledge-based connectionism for revising domain theories. IEEE Transactions on Systems, Man, and Cybernetics 23 (1):173–82. doi:10.1109/21.214775.
- Hailesilassie, T. 2016. Rule extraction algorithm for deep neural networks: A review. (IJCSIS) International Journal of Computer Science and Information Security, 14(7):376–381.
- Ishikawa, M. 1996. Structural learning with forgetting. Neural Networks 9 (3):509–21. doi:10.1016/0893-6080(96)83696-3.
- Kim, H. (2000). Computationally efficient heuristics for if-then rule extraction from feed-forward neural networks. In Lecture Notes in Artificial Intelligence 1967 (Discovery Science 2000), 170–182. Springer.
- Schmitz, G. P., C. Aldrich, and F. S. Gouws. 1999. Ann-dt: An algorithm for extraction of decision trees from artificial neural networks. IEEE Transactions on Neural Networks 10 (6):1392–401. doi:10.1109/72.809084.
- Setiono, R., and W. K. Leow. 2000. Fernn: An algorithm for fast extraction of rules from neural networks. Applied Intelligence 12 (1–2):15–25. doi:10.1023/A:1008307919726.
- Taha, I. A., and J. Ghosh. 1999. Symbolic interpretation of artificial neural networks. IEEE Transactions on Knowledge and Data Engineering 11 (3):448–63. doi:10.1109/69.774103.
- Thrun, S. 1995. Extracting rules from artificial neural networks with distributed representations. In G. Tesauro, D. Touretzky, and T. Leen (Eds.), Advances in Neural Information Processing Systems, Volume 7. MIT Press.
- Towell, G. G., and J. W. Shavlik. 1993. Extracting refined rules from knowledge-based neural networks. Machine Learning 13 (1):71–101. doi:10.1007/BF00993103.
- Wang, Y., H. Su, B. Zhang, and X. Hu. 2018. Interpret neural networks by identifying critical data routing paths. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8906–8914.