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Paper Abstract and Keywords
Presentation 2007-03-16 10:30
Learning of CA rules by Digital Multi-Layer Perceptrons
Tohru Abe, Toshimichi Saito (HU)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper studies learning of Binary Neural Networks (BNNs) that is a simplified version of Multi-Layer-Perceptrons.
The BNN has binary connection parameters and can realize a desired Boolean function provided a sufficient number of hidden neurons are given.
As an application, we use rules of Binary Cellular Automata(BCAs) as teacher signals.
Our elemental learning algorithm is based on random search of the binary parameters.
In basic neumerical experiments, we have investigated approximation property for the number of hidden neurons and have confirmed efficiency of the algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) Binary Neural Networks / Binary Cellular Automaton / hidden neurons / supervised learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 106, no. 590, NC2006-202, pp. 85-89, March 2007.
Paper # NC2006-202 
Date of Issue 2007-03-09 (NC) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee NC  
Conference Date 2007-03-14 - 2007-03-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NC 
Conference Code 2007-03-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning of CA rules by Digital Multi-Layer Perceptrons 
Sub Title (in English)  
Keyword(1) Binary Neural Networks  
Keyword(2) Binary Cellular Automaton  
Keyword(3) hidden neurons  
Keyword(4) supervised learning  
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1st Author's Name Tohru Abe  
1st Author's Affiliation Hosei University (HU)
2nd Author's Name Toshimichi Saito  
2nd Author's Affiliation Hosei University (HU)
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Speaker Author-1 
Date Time 2007-03-16 10:30:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2006-202 
Volume (vol) vol.106 
Number (no) no.590 
Page pp.85-89 
#Pages
Date of Issue 2007-03-09 (NC) 


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