Sistema de Extração de Conhecimentos de Redes Neurais

Abstract

This paper proposes a system for extracting knowledge from neural networks aided by fuzzy logic, emphasizing the generation of a rule bank representing process behavior. The system enables the construction of models for control or information retrieval, particularly in cases where traditional modeling is unfeasible. The approach employs neuro-fuzzy networks to extract knowledge distributed across network connections.