ATTENTION: The works hosted here are being migrated to a new repository that will consolidate resources, improve discoverability, and better show UTA's research impact on the global community. We will update authors as the migration progresses. Please see MavMatrix for more information.
Show simple item record
dc.contributor.author | Rawat, Rohit | en_US |
dc.date.accessioned | 2010-03-03T23:30:43Z | |
dc.date.available | 2010-03-03T23:30:43Z | |
dc.date.issued | 2010-03-03T23:30:43Z | |
dc.date.submitted | January 2009 | en_US |
dc.identifier.other | DISS-10503 | en_US |
dc.identifier.uri | http://hdl.handle.net/10106/2062 | |
dc.description.abstract | A Piecewise Linear Network (PLN) is a local network that offers the accuracy of higher order networks and the Multi Layer Perceptron (MLP), with the computational simplicity of linear networks. A method to design a PLN is demonstrated and several clustering algorithms, used in the design procedure, are compared. The performance of the Self Organizing Map (SOM) clustering algorithm has been found to be slightly better than the other clustering methods. Methods to determine the appropriate threshold in the Sequential Leader algorithm have been studied. A binary search based approach was found to be the most efficient in terms of the number of trials needed. Methods to delete extra clusters generated have been studied and compared to pruning. Pruning yields the best networks followed by deleting the smallest clusters. Methods of improving PLN pruning performance have been developed, including segregation of patterns by clusters, the use of partial distances, and redesign of only changed clusters. Results have been presented for several different data files. | en_US |
dc.description.sponsorship | Manry, Michael T. | en_US |
dc.language.iso | EN | en_US |
dc.publisher | Electrical Engineering | en_US |
dc.title | An Efficient Piecewise Linear Network | en_US |
dc.type | M.S. | en_US |
dc.contributor.committeeChair | Manry, Michael T. | en_US |
dc.degree.department | Electrical Engineering | en_US |
dc.degree.discipline | Electrical Engineering | en_US |
dc.degree.grantor | University of Texas at Arlington | en_US |
dc.degree.level | masters | en_US |
dc.degree.name | M.S. | en_US |
dc.identifier.externalLink | https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=281 | |
dc.identifier.externalLinkDescription | Link to Research Profiles | |
Files in this item
- Name:
- Rawat_uta_2502M_10503.pdf
- Size:
- 2.545Mb
- Format:
- PDF
This item appears in the following Collection(s)
Show simple item record