Data/hora: 02/06/2024 16:46:36

Biblioteca(s): 	Embrapa Cerrados.	
Data corrente: 	29/08/2002	
Data da última atualização: 	29/08/2002	
Autoria: 	PRADO, H. A.; FRIGERI, S. R.; ENGEL, P. M.	
Título: 	A parsimonious generation of combinatorial neural model.	
Ano de publicação: 	1998	
Fonte/Imprenta: 	In: CACIC. Neuquen, Argentina: Universidade Nacional del Comahue, 1998.	
Idioma: 	Inglês	
Conteúdo: 	This paper a new approach to reduce the space problem due to combinatorial explosion of CNM (Combinatorial Neural Model) method. First we show a description of CNM, proposed by Machado and Rocha [MAC 91], [MAC 92], [MAC 92a], [MAC 97], as a variation of fuzzy neural network introduced as an alternative to meet many requirements, such as expressivenes, inteligibility, plasticity and flexibility. Our approach represents an alternative to generate the CNM network with certainty factors for each hypothesis. We demonstrate by means of a simple practical example that the number of combinations can be really reduced.  	
Palavras-Chave: 	Data mining; Knowledge discovery; Redes neurais.	
Thesagro: 	Base de Dados; Informática.	
Thesaurus Nal: 	databases; neural networks.	
Categoria do assunto: 	--	
Registro original: 	Embrapa Cerrados (CPAC)	
Exemplares: 	CPAC - (21705-1) - UPC - PL - -- - CRI5960 -  - CRI5960 - DIS