๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Modeling and design of printed antennas using neural networks

โœ Scribed by Yamina Tighilt; Farid Bouttout; Abdelhafid Khellaf


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
305 KB
Volume
21
Category
Article
ISSN
1096-4290

No coin nor oath required. For personal study only.

โœฆ Synopsis


A single neural network is developed to model the resonant frequency of rectangular patch printed on uniaxially anisotropic substrate with air gap using effective parameters in conjunction with spectral dyadic Green's function. Also, the strength of ANN models in antenna design is demonstrated by considering two case studies: the design of circular patch antenna and planar inverted-F antenna. Results show good agreement with literature.


๐Ÿ“œ SIMILAR VOLUMES


Printed dipole antenna design using arti
โœ Xiuping Li; Jianjun Gao; Georg Boeck ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 197 KB ๐Ÿ‘ 1 views

An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions are used to capture critical input/output relationships in the ANN model. Once fully developed, the ANN model has been show

Modeling frequency reconfigurable antenn
โœ Amalendu Patnaik; Dimitrios Anagnostou; Christos G. Christodoulou; James C. Lyke ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 108 KB

In order to avoid the computational complexities involved in analyzing reconfigurable antennas, neural networks are used as an alternate approach. The neural network finds the location of the operational frequency bands for any combination of switches connecting different radiating elements. The net

Wideband mobile antenna design based on
โœ Shaoqiu Xiao; Bing-Zhong Wang; Xiaozheng Zhong; Gaofeng Wang ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 106 KB ๐Ÿ‘ 1 views

A compact wideband planar monopole antenna is designed and optimized based on artificial neural network (ANN) models. The antenna is suitable for DCS, PCS, DECT, PHS, IMT-2000, UMTS, and WLAN in mobile communication. The design time decreases dramatically due to using the ANN models.

Modeling of Pain Using Artificial Neural
โœ M. HAERI; D. ASEMANI; Sh. GHARIBZADEH ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 197 KB

In dealing with human nervous system, the sensation of pain is as sophisticated as other physiological phenomena. To obtain an acceptable model of the pain, physiology of the pain has been analysed in the present paper. Pain mechanisms are explained in block diagram representation form. Because of t

Microstrip filter design using FDTD and
โœ M. G. Banciu; E. Ambikairajah; R. Ramer ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 226 KB

## Abstract A new design technique using the FDTD method and neural networks is applied to a microstrip filter. The total design time is reduced by two means. First, an iterative ARMA signal estimation technique is utilized to reduce the computation time for each FDTD run. Second, the number of FDT