Title
Measurement Of Atmosopheric Noise Emmision During Heavy Rain Events Using A C-Band Radiometer
Keywords
Error Control Coding; General Purpose Systems; Intelligent Machine
Abstract
Using lessons learned from error control coding, and multiple areas of life science, we propose a general purpose representation and association machine (GPRAM). GPRAM uses a versatile approach with hierarchical representation and association structures, each with different degrees of vagueness, over-completeness, and deliberate variation. GPRAM machines use vague measurements to do a quick and rough assessment on a task; then use approximated message-passing algorithms to improve assessment; and finally selects ways closer to a solution, eventually solving it. We illustrate concepts and structures using simple examples. © 2012 IEEE.
Publication Date
5-31-2012
Publication Title
Conference Proceedings - IEEE SOUTHEASTCON
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/SECon.2012.6196957
Copyright Status
Unknown
Socpus ID
84861503235 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84861503235
STARS Citation
Sirizi, Mansour and Jones, W. Linwood, "Measurement Of Atmosopheric Noise Emmision During Heavy Rain Events Using A C-Band Radiometer" (2012). Scopus Export 2010-2014. 5343.
https://stars.library.ucf.edu/scopus2010/5343