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.
161 related articles for article (PubMed ID: 18269960)
1. 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]
2. 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]
4. Extracting rules from neural networks as decision diagrams. Chorowski J; Zurada JM IEEE Trans Neural Netw; 2011 Dec; 22(12):2435-46. PubMed ID: 21335310 [TBL] [Abstract][Full Text] [Related]
5. Generating concise and accurate classification rules for breast cancer diagnosis. Setiono R Artif Intell Med; 2000 Mar; 18(3):205-19. PubMed ID: 10675715 [TBL] [Abstract][Full Text] [Related]
6. Rule extraction from minimal neural networks for credit card screening. Setiono R; Baesens B; Mues C Int J Neural Syst; 2011 Aug; 21(4):265-76. PubMed ID: 21809474 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Piecewise-linear neural networks and their relationship to rule extraction from data. Holena M Neural Comput; 2006 Nov; 18(11):2813-53. PubMed ID: 16999580 [TBL] [Abstract][Full Text] [Related]
9. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders. Hayashi Y; Setiono R; Yoshida K Artif Intell Med; 2000 Nov; 20(3):205-16. PubMed ID: 10998587 [TBL] [Abstract][Full Text] [Related]
10. Constructing a fuzzy rule-based system using the ILFN network and Genetic Algorithm. Yen GG; Meesad P Int J Neural Syst; 2001 Oct; 11(5):427-43. PubMed ID: 11709810 [TBL] [Abstract][Full Text] [Related]
11. Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction. Hayashi Y Neural Comput; 2018 Dec; 30(12):3309-3326. PubMed ID: 30314421 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Neural-network-based state feedback control of a nonlinear discrete-time system in nonstrict feedback form. Jagannathan S; He P IEEE Trans Neural Netw; 2008 Dec; 19(12):2073-87. PubMed ID: 19054732 [TBL] [Abstract][Full Text] [Related]