• REKHA JOSHI
• RUBY YADAV
• V. K. SUMAN

In recent years, engineers have gained great momentum in the field of wireless communication by utilizing Artificial Neural Networks. This paper presents the use of Artificial Neural Networks in designing of circular microstrip patch antenna and further use ANN for determining its resonant frequency. ANN model is developed to calculate the antenna dimensions for the given resonant frequency, dielectric constant and the height of the substrate. ANN is designed using radial basis function network. The results obtained show better agreement with the trained and tested data of ANN models. This presented ANN model is practically an alternative to the conventional detailed electromagnetic design of circular microstrip antenna. Furthermore, the neural model presented possesses high accuracy and requires no complicated mathematical function. The analysis and the synthesis of the model of ANN gives better results.

Circular microstrip patch antenna, Artificial Neural Network, closed form model, resonant frequency, effective patch radius.

"STUDY OF RESONANT FREQUENCY OF CIRCULAR MICROSTRIP PATCH ANTENNA USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.300-308, May 2019, Available :http://www.jetir.org/papers/JETIRCU06061.pdf

"STUDY OF RESONANT FREQUENCY OF CIRCULAR MICROSTRIP PATCH ANTENNA USING ARTIFICIAL NEURAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp300-308, May 2019, Available at : http://www.jetir.org/papers/JETIRCU06061.pdf