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New algorithm for neural network data discrimination applied to Markarian 421 high energy gamma rays

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New algorithm for neural network data discrimination applied to Markarian 421 high energy gamma rays

Macot, Luc (1998) New algorithm for neural network data discrimination applied to Markarian 421 high energy gamma rays. PhD thesis, Concordia University.

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Abstract

A new neural network learning algorithm, called the Umbrella Algorithm, is developed and analysed. Its generalization, which does not exhibit over-specialisation, is observed in the EXOR problem and in an artificial data discrimination (Toy Data) problem. The learning time is found to be about 1/15 of backpropagation learning time for the parity problem. The algorithm is applied to cosmic high energy gamma ray detection and is further used for determining the spectral index of the Markarian 421 source.

Divisions:Concordia University > Faculty of Arts and Science > Physics
Item Type:Thesis (PhD)
Authors:Macot, Luc
Pagination:xvii, 255 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Theses (Ph.D.)
Program:Physics
Date:1998
Thesis Supervisor(s):Frank, Barry
ID Code:471
Deposited By:Concordia University Libraries
Deposited On:27 Aug 2009 13:12
Last Modified:08 Dec 2010 10:14
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