چکیده مقاله
In this paper, with the use of radial basis functions of neural networks RBF NN , closed forms for analysis of a typical dual band Wilkinson power divider is presented At first, a number of samples input output pairs for characteristic impedances of microstrip lines and isolation resistor in Wilkinson power divider are numerically computed using least square technique and they are then used in the training process of the RBF NN After the process is converged,closed forms for characteristic impedances of microstrip lines and isolation resistor are proposed from which design parameters including length and width of microstrip lines as well as the isolation resistor are efficiently extracted
کلیدواژهها
نویسندگان
Saeed Reza Ostadzadeh
Faculty of Engineering, Arak University, Arak, Iran
Ali Bagheri
Ali Bagheri, BSC student, Arak University, Arak, Iran
شیوه ارجاع
Ostadzadeh, Saeed Reza and Bagheri, Ali,1400,Application of Radial Basis Functions (RBF) for Efficient Design of Dual-Band Wilkinson Power Divider,Fourth International Conference on Soft Computing
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