GYAN : a methodology for rule extraction from artificial neural networks
Nayak, Richi (1999) GYAN : a methodology for rule extraction from artificial neural networks. PhD thesis, Queensland University of Technology.
Find a copy in the QUT Library.
Citations:
Citation countsare sourced monthly from Scopus and Web of Science citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
| ID Code: | 36857 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Additional Information: | Presented to the School of Computing Science, Queensland University of Technology. |
| Keywords: | Neural networks (Computer science), artificial neural networks, rule extraction, first order logic, data mining, knowledge acquisition, machine learning, inductive learning, thesis, doctoral |
| Institution: | Queensland University of Technology |
| Copyright Owner: | Copyright Richi Nayak |
| Deposited On: | 22 Sep 2010 23:06 |
| Last Modified: | 09 Feb 2011 23:55 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page