BDBComp
Parceria:
SBC
Constructive and Pruning Methods for Neural Network Design

Marcelo Azevedo CostaAntônio de Pádua BragaBenjamin Rodrigues de Menezes

This paper presents methods to improve generalization of Multi-Layer Perceptron (MLP) by pruning the original topology without loss in performance. Topology information and validation sets are used. The results show that these techniques are able to choose a minimum network topology and to simplify trained networks.

http://csdl.computer.org/comp/proceedings/sbrn/2002/1709/00/17090049abs.htm

Caso o link acima esteja inválido, faça uma busca pelo texto completo na Web: Buscar na Web

Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
     Mantida por:
LBD