A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
Anais do 6. Congresso Brasileiro de Redes Neurais
Hybrid neurofuzzy networks are addressed in this paper. The network models have two basic structures, a fuzzy neural inference system and a neural network. The fuzzy system contains fuzzy neurons modeled through logic and and or operations processed via t-norms and s-norms, respectively. The neural network has nonlinear elements placed in series with the previous logical elements. The neural fuzzy inference system encodes a set of if-then rules and its recurrent multilayered structure performsdoi:10.21528/cbrn2003-024 fatcat:bikoquyaj5f4fedibffuqhxfoq