(INSTITUTO DE TECNOLOGIA, 2015) AZEVEDO, Manoel S. Santos; NEVES, Cleonor C. das; CASTRO, Adriana Rosa G; LEITE, Jandecy Cabral.; Prof. Dr. Carlos Tavares da Costa Júnior
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.
