๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Microcell electric field strength prediction model based upon artificial neural networks

โœ Scribed by Aleksandar Neskovic; Natasa Neskovic


Book ID
108051326
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
630 KB
Volume
64
Category
Article
ISSN
1434-8411

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Predictions on surface finish in electri
โœ Kuo-Ming Tsai; Pei-Jen Wang ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 282 KB

Predictions on the surface finish of work-pieces in electrical discharge machining (EDM) based upon physical or empirical models have been reported in the past years. However, when the change of electrode polarity has been considered, very few models have given reliable predictions. In this study, t

Feasibility of neural networks in modell
โœ A. P. Leros; A. A. Alexandridis; K. Dangakis; P. Kostarakis ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 349 KB ๐Ÿ‘ 2 views

A typical back-propagation neural network (BPN) model is developed for modelling radio propagation for field strength prediction based on data measurements of propagation loss (in decibels) with terrain information taken in an urban area (Athens region) in the 900 MHz band. The feasibility of the BP