FCANN Method Applications for Knowledge Extraction From Previously Trained ANN

摘要

Nowadays, artificial neural networks are being widely used in the representation of physical processes. Once trained, the nets are capable to solve unprecedented situations, keeping tolerable errors in their outputs. However, humans cannot assimilate the