Sobre o modelo neural RuleNet e suas características simbólica e cooperativa.

• Autor(a) principal: Figueira, Lucas Baggio
• Data de Publicação: 2004
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFSCAR
• Texto Completo: https://repositorio.ufscar.br/handle/ufscar/566
• topic: Inteligência artificial; Aprendizado do computador; Redes neurais (computação); Aprendizado simbólico; Aprendizado cooperativo; CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

Machine learning is an area of Artificial Intelligence that deals with methods and techniques for implementing automatic learning in computational systems. This research work investigates a machine learning neural model called RuleNet and its extension for fuzzy domains named Fuzzy RuleNet. Among the advantages of the RuleNet proposal are its simplicity, easiness and fast training as well as the way it represents the induced concept, which can be characterized as symbolic. This aspect makes RuleNet suitable for participating in cooperative systems. This research work investigates both the contribution of the RuleNet model as a stand alone learning technique as well as part of a cooperative system. It presents and discusses the results obtained in several experiments, evaluating RuleNet as a stand alone machine learning (versus two other machine learning methods, the ID3 and the NGE) and as part of a cooperative system, articulated to ID3 and to NGE.