Neural Network Assistance for Project SERENDIP

Taylor, Douglas and Towsey, Michael W. and Diederich, Joachim (1999) Neural Network Assistance for Project SERENDIP. In Le Cun, Y. and Bengio, Y., Eds. Proceedings Learning, Snowbird, Utah.

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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:	Neural Network, SETI, SERENDIP, extra-terrestrial intelligence
Subjects:	240000 Physical Sciences > 240100 Astronomical Sciences > 240101 Astronomy and Astrophysics 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic
ID Code:	7691
Deposited By:	Towsey, Michael W.
Deposited On:	15 May 2007
Additional Information:	For more information, please contact the author: m.towsey@qut.edu.au