Paper Info
Title
GORMANN: Gravitationally Organized Related Mapping Artificial Neural Network.
Abstract
Self-organizing neural networks are excellent tools for data processing, pattern recognition, cluster analysis and more. SOMs provide a discretized representation of the input space to allow for more efficient processing and analysis. While neural networks have historically focused on the emulation of information processing by animal brains, analyzing the existing self-organizing paradigms has sug...
Year
DOI
Venue
2016
10.1093/comjnl/bxv069
The Computer Journal
Keywords
Field
DocType
self-organizing maps,neural network architectures,gravity
Computer science,Artificial neural network,Distributed computing
Journal
Volume
Issue
ISSN
59
6
0010-4620
Citations 
PageRank 
References 
0
0.34
15
Authors
2
Name
Order
Citations
PageRank
Chris Gorman100.68
Iren Valova213625.44