DISTANCE OF THE INITIAL WEIGHTS OF TREE PARITY MACHINE DRAWN FROM DIFFERENT DISTRIBUTIONS

DISTANCE OF THE INITIAL WEIGHTS OF TREE PARITY MACHINE DRAWN FROM DIFFERENT DISTRIBUTIONS

It is well-known that artificial neural networks have the ability to learn based on the provisions of new data. A special case of the so-called supervised learning is a mutual learning of two neural networks. This type of learning applied to a specific networks called Tree Parity Machines (abbreviat...

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Bibliographic Details
Main Authors: Michał Dolecki, Ryszard Kozera
Format: Article
Language:English
Published: Society of Polish Mechanical Engineers and Technicians 2015-05-01
Series:Advances in Science and Technology Research Journal
Subjects:
neural networks
neurocryptography
Online Access:http://www.astrj.com/Distance-of-the-initial-weights-of-tree-parity-machine-drawn-from-different-distributions,2380,0,2.html

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http://www.astrj.com/Distance-of-the-initial-weights-of-tree-parity-machine-drawn-from-different-distributions,2380,0,2.html

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