IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Book Series Information Science and Computing >
2008 >
Book 2 Advanced Research in Artificial Intelligence >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1025

Title: The Cascade Orthogonal Neural Network
Authors: Bodyanskiy, Yevgeniy
Dolotov, Artem
Pliss, Iryna
Viktorov, Yevgen
Keywords: Orthogonal Activation Functions
Ortho-Synapse
Ortho-Neuron
Cascade Orthogonal Neural Network
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: In the paper new non-conventional growing neural network is proposed. It coincides with the Cascade- Correlation Learning Architecture structurally, but uses ortho-neurons as basic structure units, which can be adjusted using linear tuning procedures. As compared with conventional approximating neural networks proposed approach allows significantly to reduce time required for weight coefficients adjustment and the training dataset size.
URI: http://hdl.handle.net/10525/1025
ISSN: 1313-0455
Appears in Collections:Book 2 Advanced Research in Artificial Intelligence

Files in This Item:

File Description SizeFormat
IBS-02-p02.pdf85.58 kBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback