A Flexible Connectionist Fuzzy System

摘要

In this paper we derive flexible neuro-fuzzy systems based on Yager's triangular norms. We incorporate various flexibility parameters into their construction. The parameters are learned by the standard recursive gradient procedures with constraints. The performance is illustrated on a typical approximation problem.