A role for neural networks in the search for extra-terrestrial intelligence
(1999) A role for neural networks in the search for extra-terrestrial intelligence. In Proceedings 6th International Bioastronomy Meeting, Kohala Coast, Hawaii.
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Abstract
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.
| Item Type: | Conference Paper |
|---|---|
| Status: | Published |
| Keywords: | SETI, neural networks, search for extra-terrestrial intelligence |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280204 Signal Processing |
| ID Code: | 7610 |
| Deposited By: | Towsey, Michael W. |
| Deposited On: | 16 May 2007 |
| Copyright Owner: | Copyright 1999 Astronomical Society of the Pacific |