ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEM MODELS FOR NARROW APERTURE DIMENSION CALCULATION OF OPTIMUM GAIN PYRAMIDAL HORNS by ProQuest

VIEWS: 32 PAGES: 24

More Info
									       ADAPTIVE-NETWORK-BASED FUZZY
          INFERENCE SYSTEM MODELS FOR
           NARROW APERTURE DIMENSION
         CALCULATION OF OPTIMUM GAIN
                         PYRAMIDAL HORNS
                             Kerim Guney∗ Nurcan Sarikaya†
                                        ,




Abstract: A method based on the adaptive-network-based fuzzy inference sys-
tem (ANFIS) is presented for computing the narrow aperture dimension of the
pyramidal horn. Eight optimization algorithms, least-squares, hybrid learning,
Nelder-Mead, genetic, differential evolution, particle swarm, simulated annealing,
and clonal selection, are used to optimally determine the design parameters of the
ANFIS. The narrow apert
								
To top