Development of a square monopole antenna model using adaptive neuro fuzzy inference system. Issue 3 (4th November 2016)

• Record Type: Journal Article
• Authors: Pandit, Moumi; Bose Roy, Tanushree; Ghose, M.K.
• Is Part Of: International journal of advanced logistics. Volume 5:Issue 3/4(2016)
• Page Start: 176
• Page End: 183
• Publication Date: 2016-11-04
• Subjects: Adaptive Neuro-Fuzzy Inference System (ANFIS) -- printed monopole antenna -- IE3D; Business logistics -- Periodicals; 381.09519
• DOI: 10.1080/2287108X.2016.1276666
• Languages: English
• ISSNs: 2287-108X

Abstract

Abstract : The design and construction of a compact structure of a printed antenna with a square radiating element has been proposed in this paper. This research paper deals with the determination of four design parameters and also the two cut-off frequencies, thus providing the bandwidth within which the antenna will be operable using a hybrid model based on Adaptive Neuro-Fuzzy Inference System (ANFIS). The time taken for computation is only about 100 s, which is much less when compared to the traditional artificial neural network methods. The results extracted from the proposed model are then compared with the simulated values using IE3D software as well as the fabricated model of the antenna and is found quite comparable. This method is computationally efficient and time-saving due to fewer iterations and also reduces error due to the avoidance of complex mathematical calculations. Moreover, it can efficiently provide many design parameters in one shot with minimum error.