Title :
Design of optimum gain L-band pyramidal horn using Artificial Neural Network
Author :
Modi, Anuj Y. ; Mehta, Jigar ; Pisharody, Nilima
Author_Institution :
Inst. of Technol., Dept. of Electron. & Commun. Eng., Nirma Univ., Ahmedabad, India
Abstract :
In this paper, optimization of optimum gain pyramidal horn Antenna for L-band has been done using Artificial Neural Networks (ANN). The ANN is trained in such a way that for any desired gain and frequency (L-band), it can generate design parameters of pyramidal horn antenna with great accuracy. The errors in the desired gain are less than 1.3%.
Keywords :
electrical engineering computing; horn antennas; neural nets; optimisation; ANN; artificial neural networks; design parameters; optimization; optimum gain L-band pyramidal horn antenna; Artificial neural networks; Gain; Horn antennas; L-band; Optimization; Resonant frequency; Training; Artificial neural network; pyramidal horn antenna; radial basis function (RBF);
Conference_Titel :
Applied Electromagnetics Conference (AEMC), 2013 IEEE
Conference_Location :
Bhubaneswar
Print_ISBN :
978-1-4799-3266-5
DOI :
10.1109/AEMC.2013.7045047
