These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
15 related articles for article (PubMed ID: 18249780)
1. A new data mining scheme using artificial neural networks. Kamruzzaman SM; Jehad Sarkar AM Sensors (Basel); 2011; 11(5):4622-47. PubMed ID: 22163866 [TBL] [Abstract][Full Text] [Related]
2. Extracting rules from neural networks by pruning and hidden-unit splitting. Setiono R Neural Comput; 1997 Jan; 9(1):205-25. PubMed ID: 9117899 [TBL] [Abstract][Full Text] [Related]
3. Extracting rules from trained neural networks. Tsukimoto H IEEE Trans Neural Netw; 2000; 11(2):377-89. PubMed ID: 18249768 [TBL] [Abstract][Full Text] [Related]
4. Greedy rule generation from discrete data and its use in neural network rule extraction. Odajima K; Hayashi Y; Tianxia G; Setiono R Neural Netw; 2008 Sep; 21(7):1020-8. PubMed ID: 18442894 [TBL] [Abstract][Full Text] [Related]
5. Extraction of rules from artificial neural networks for nonlinear regression. Setiono R; Leow WK; Zurada JM IEEE Trans Neural Netw; 2002; 13(3):564-77. PubMed ID: 18244457 [TBL] [Abstract][Full Text] [Related]
6. Recursive neural network rule extraction for data with mixed attributes. Setiono R; Baesens B; Mues C IEEE Trans Neural Netw; 2008 Feb; 19(2):299-307. PubMed ID: 18269960 [TBL] [Abstract][Full Text] [Related]
7. Extracting M-of-N rules from trained neural networks. Setiono R IEEE Trans Neural Netw; 2000; 11(2):512-9. PubMed ID: 18249780 [TBL] [Abstract][Full Text] [Related]