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Paper Abstract and Keywords
Presentation 2004-11-19 14:15
An new method for efficient design of neural network trees
Qiangfu Zhao (U-Aizu)
Abstract (in Japanese) (See Japanese page) 
(in English) Neural network tree (NNTree) is a hybrid learning model with the
overall structure being a decision tree (DT), and each non-terminal
node containing an expert neural network (ENN). Generally speaking,
NNTrees outperform conventional DTs because more complex and
possibly better features can be extracted by the ENNs. So far we
have studied several genetic algorithms (GAs) for designing the
NNTrees. These algorithms, however, are computationally expensive,
and cannot be used easily. In this paper, we propose a new approach
based on the R4-rule, which is a non-genetic evolutionary
algorithm proposed by the author several years ago. The key point
is to propose a heuristic method for defining the teacher signals
for the examples assigned to a non-terminal node. Once the teacher
signals are defined, the ENNs can be trained quickly using the
R4-rule. Experiments with several public databases show that the
new approach can produce NNTrees quickly and effectively.
Keyword (in Japanese) (See Japanese page) 
(in English) Neural network / decision tree / neural network tree / nearest neighbor classifier / the R4-rule / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 448, PRMU2004-115, pp. 59-64, Nov. 2004.
Paper # PRMU2004-115 
Date of Issue 2004-11-12 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2004-11-18 - 2004-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To PRMU 
Conference Code 2004-11-PRMU 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An new method for efficient design of neural network trees 
Sub Title (in English)  
Keyword(1) Neural network  
Keyword(2) decision tree  
Keyword(3) neural network tree  
Keyword(4) nearest neighbor classifier  
Keyword(5) the R4-rule  
1st Author's Name Qiangfu Zhao  
1st Author's Affiliation The University of Aizu (U-Aizu)
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Speaker Author-1 
Date Time 2004-11-19 14:15:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2004-115 
Volume (vol) vol.104 
Number (no) no.448 
Page pp.59-64 
Date of Issue 2004-11-12 (PRMU) 

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