DocumentCode
2710762
Title
Tree Architecture Pattern Distributor: a task decomposition classification approach
Author
Alves, Victor M O ; Cavalcanti, George D C
Author_Institution
Center of Inf. (CIn), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
fYear
2009
fDate
14-19 June 2009
Firstpage
133
Lastpage
140
Abstract
Task decomposition is a widely used method to solve complex and large problems. In this paper, it is proposed a novel task decomposition approach, named tree architecture pattern distributor (TreeArchPD), which is based on another task decomposition technique, called pattern distributor. The main idea is to design a tree architecture with many distributors instead of using only one distributor as proposed by the original technique. It is also proposed a new class grouping method that aims to optimize the class selection for task decomposition. Many experiments were done and they showed the effectiveness of the proposed approaches.
Keywords
feedforward neural nets; pattern classification; tree data structures; PD method; class grouping method; multilayered feed-forward neural network; task decomposition classification approach; tree architecture pattern distributor; Classification tree analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location
Atlanta, GA
ISSN
1098-7576
Print_ISBN
978-1-4244-3548-7
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2009.5178850
Filename
5178850
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