Knowledge based approach to structure level adaptation of neural networks

This paper presents knowledge based approach to structure level adaptation of neural network. This algorithm determines a network structure based on prior knowledge and generates and/or annihilates hidden neurons of the network to reach good structure during learning phase. Furthermore, we present a method of extraction of fuzzy rules from the regularities of the network, since the network structure is one of optimal network structures. To verify the effectiveness of the proposed method, we developed a model of the occurrence of hypertension and extracted fuzzy rules from the network.