RCGA를 이용한 F-NFS의 학습에 관한 연구

F-NFS is that fuzzy inference based Neuro-Fuzzy System. It take aim at intelligently system model that can do learning, reasoning, memorizing and recognizing as human's thinking action. But F-NFS couldn't use learning rule to study learning set for neural network. Because it had structural fuzzy inference part. This study consider about F-NFS's learning method with GA. It take aim at learning F-NFS without any special learning method. And it also can deduce inference part from learning set, neural network's weighting matrix, bias matrix.