ANN Prediction Models for Outdoor Environment

Author

Popescu, Ileana ; Nikitopoulos, Dimitris ; Constantinou, Philip ; Nafornita, Ioan

Author_Institution

Nat. Tech. Univ. of Athens

fYear

2006

fDate

11-14 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

This paper presents the results of our studies concerning the applications of feedforward artificial neural networks to the propagation path loss prediction in outdoor environment. An error correction model is proposed, based on the combination between a theoretical model and a neural network. The performances of the proposed artificial neural network models are compared to the measured path loss values, based on the absolute mean error, standard deviation and root mean square error. Also, the proposed neural network models are compared to each other and to the COST 231-Walfisch-Ikegami

Keywords

error correction; feedforward neural nets; mobile radio; radiowave propagation; telecommunication computing; ANN prediction models; COST 231-Walfisch-Ikegami; absolute mean error; error correction model; feedforward artificial neural networks; path loss prediction; root mean square error; standard deviation; Artificial neural networks; Land mobile radio; Mobile communication; Multilayer perceptrons; Neural networks; Neurons; Performance evaluation; Predictive models; Propagation losses; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 2006 IEEE 17th International Symposium on

Conference_Location

Helsinki

Print_ISBN

1-4244-0329-4

Electronic_ISBN

1-4244-0330-8

Type

conf

DOI

10.1109/PIMRC.2006.254270

Filename

4022648