DocumentCode
3861710
Title
Indoor electric field level prediction model based on the artificial neural networks
Author
A. Neskovic;N. Neskovic;D. Paunovic
Author_Institution
Dept. of Commun., Belgrade Univ., Serbia
Volume
4
Issue
6
fYear
2000
Firstpage
190
Lastpage
192
Abstract
A new field strength prediction model for the mobile phone environment is presented. The model is based on the principles of popular feedforward neural networks. Utilizing a new artificial neural network model some important disadvantages of both deterministic and empirical models can be overcome. In order to build the model, extensive field strength measurements were carried out inside two different buildings. The analysis of the model has shown that the proposed model is fast, accurate (on the order of the focal mean measurements uncertainty) and reliable.
Keywords
"Predictive models","Artificial neural networks","Neural networks","Databases","Feedforward neural networks","Computational efficiency","Frequency","Accuracy","Floors","Mobile handsets"
Journal_Title
IEEE Communications Letters
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/4234.848409
Filename
848409
Link To Document