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
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;
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2009.5178850