期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：44
期号：2
页码：64-73
DOI：10.14445/22312803/IJCTT-V44P112
出版社：Seventh Sense Research Group
摘要：Microstrip Patch antenna is used in various antenna systems because of their low profile, light weight, low cost, compactness etc. Patch antenna is also used with Microwave IC’s and Monolithic Microwave IC’s because of its compatibility. Artificial neural network have become popular for predicting performance parameters of various antenna because of their learning and simplification features. The use of neural networks can considerably diminish the complexity. An upfront application of an artificial network consumes the information resulting from the composite measured processes to train an ANN. After appropriate process of training, these network representation can be considered in place of computationally exhaustive representations in order to hurry up the investigation. Various neural network training algorithm were used by the researchers to optimize the parameters of various antenna and to obtain the accurate results in less time. In this paper, we have made a study and survey on various antenna designs parameters using artificial neural network.
关键词：Microstrip; ANN; Gradient Descent; MoM; Levenberg-Marquardt Back propagation
