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