Neural Network Assistance for Project SERENDIP
The search for extraterrestrial intelligence (SETI) is an attempt to discover extraterrestrial intelligence by searching the microwave and optical regions of the electromagnetic spectrum for signals with a non-natural extraterrestrial signature. This is a complex, multi-dimensional problem with the probability of success dependent on the extent to which the dimensions of the search space are explored. In this paper we propose a neural network method to replace the standard signal-to-noise ratio (SNR) method used by project SERENDIP. Using simulated data we demonstrate that our method offers a modest improvement over the standard (SNR) method.
Impact and interest:
Citation counts are sourced monthly from and 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 theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Additional Information:||For more information, please contact the author: email@example.com|
|Keywords:||Neural Network, SETI, SERENDIP, extra, terrestrial intelligence|
|Subjects:||Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > ASTRONOMICAL AND SPACE SCIENCES (020100) > Astronomical and Space Instrumentation (020102)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Deposited On:||15 May 2007|
|Last Modified:||10 Aug 2011 13:51|
Repository Staff Only: item control page