Macrocell electric field strength prediction model based upon artificial neural networks
โ Scribed by Neskovic, A.; Neskovic, N.; Paunovic, D.
- Book ID
- 118260536
- Publisher
- IEEE
- Year
- 2002
- Tongue
- English
- Weight
- 496 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0733-8716
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
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
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