Extração de conhecimento de redes neurais artificiais. / Knowledge extraction from artificial neural networks.
AUTOR(ES)
Edmar Martineli
DATA DE PUBLICAÇÃO
1999
RESUMO
This work describes experiments carried out witch Artificial Neural Networks and symbolic learning algorithms. Two algorithms for knowledge extraction from Artificial Neural Networks are also investigates. This experiments are performed whit three data set with the objective of compare the performance obtained. The data set used in this work are: Brazilians banks bankruptcy data set, tic-tac-toe data set and credit analysis data set. Three techniques for data set performance improvements are investigates. These techniques are: partition for the smallest class, noise increment in the examples of the smallest class and selection of more important attributes. Besides the analysis of the performance obtained, an analysis of the understanding difficulty of the knowledge extracted by each method in each data bases is made.
ASSUNTO(S)
en pré-processamento falência redes neurais artificiais knowledge extraction trepan estração de conhecimentos c4.5 artificial neural networks cn2
Documentos Relacionados
- Modeling of pain using artificial neural networks.
- Detecção de bordas em imagens de ecocardiografia utilizando redes neurais artificiais.
- Extraction of knowledge from Artificial Neural Networks using Symbolic Machine Learning Systems and Genetic Algorithm
- Fault detection and diagnosis in robotic manipulators via artificial neural networks.
- Detecção de adulteração de combustíveis com sensores poliméricos eletrodepositados e redes neurais artificiais.