Name
Abstract | ||
|---|---|---|
This paper presents the general design of microstrip antennas using artificial neural networks for rectangular patch geometry. The design consists of synthesis in the forward side and then analyzed as the reverse side of the problem. In this work, the neural network is employed as a tool in design of microstrip antennas. The Neural network Training algorithms are used in simulation of results for training the samples to minimize the error and to obtain the geometric dimensions with high accuracy for selective band of frequencies. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/AMS.2009.12 | Asia International Conference on Modelling and Simulation |
Keywords | Field | DocType |
microstrip patch,rectangular patch geometry,selective band,neural network,forward side,microstrip antenna,geometric dimension,artificial neural network,reverse side,general design,high accuracy,artificial neural networks,learning artificial intelligence,neural networks,patch antenna,microstrip,microstrip antennas,solid modeling,dielectric materials,dielectric constant,geometry,resonant frequency | Patch antenna,Computer science,Artificial neural network,Electrical engineering,Microstrip antenna,Microstrip | Conference |
ISBN | Citations | PageRank |
978-0-7695-3648-4 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vivek Singh Kushwah | 1 | 1 | 1.11 |
| Geetam Singh Tomar | 2 | 59 | 9.86 |