DocumentCode
1706362
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
fYear
2013
Firstpage
1
Lastpage
2
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);
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Electromagnetics Conference (AEMC), 2013 IEEE
Conference_Location
Bhubaneswar
Print_ISBN
978-1-4799-3266-5
Type
conf
DOI
10.1109/AEMC.2013.7045047
Filename
7045047
Link To Document