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 :
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