Extracting knowledge from artificial neural networks: an empirical comparison of trepan and symbolic learning algorithms (2002)
- Authors:
- USP affiliated authors: CARVALHO, ANDRE CARLOS PONCE DE LEON F DE - ICMC ; MONARD, MARIA CAROLINA - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Conference titles: Mexican International Conference on Artificial Intelligence
-
ABNT
MILARÉ, Cláudia Regina e CARVALHO, André Carlos Ponce de Leon Ferreira de e MONARD, Maria Carolina. Extracting knowledge from artificial neural networks: an empirical comparison of trepan and symbolic learning algorithms. 2002, Anais.. Berlim: Springer, 2002. . Acesso em: 23 jan. 2026. -
APA
Milaré, C. R., Carvalho, A. C. P. de L. F. de, & Monard, M. C. (2002). Extracting knowledge from artificial neural networks: an empirical comparison of trepan and symbolic learning algorithms. In Proceedings MICAI 2002: advances in artificial intelligence. Berlim: Springer. -
NLM
Milaré CR, Carvalho ACP de LF de, Monard MC. Extracting knowledge from artificial neural networks: an empirical comparison of trepan and symbolic learning algorithms. Proceedings MICAI 2002: advances in artificial intelligence. 2002 ;[citado 2026 jan. 23 ] -
Vancouver
Milaré CR, Carvalho ACP de LF de, Monard MC. Extracting knowledge from artificial neural networks: an empirical comparison of trepan and symbolic learning algorithms. Proceedings MICAI 2002: advances in artificial intelligence. 2002 ;[citado 2026 jan. 23 ] - Refinando regras de conhecimento por meio de exceções
- The influence of noisy patterns in the performance of learning methods in the splice junction recognition problem
- A method for refining knowledge rules using exceptions
- An approach to explain neural networks using symbolic algorithms
- Aplicando seleção unilateral em conjuntos de exemplos desbalanceados: resultados iniciais
- Extracting rules from neural networks using symbolic algorithms: preliminary results
- Looking for exceptions on knowledge rules induced from HIV cleavage data set
- Applying one sided selection to unbalanced datasets
- Extração de conhecimento de redes neurais
- A method for refining knowledge rules using exceptions
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
