ANN Prediction Models for Indoor Environment

Author

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

Author_Institution

Sch. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens

fYear

2006

fDate

19-21 June 2006

Firstpage

366

Lastpage

371

Abstract

This work presents the results of the studies concerning the application of the feedforward neural networks to the prediction of propagation path loss in indoor environment. The proposed models consist of a multilayer perceptron and a generalized regression neural network trained with measurements. The results of the prediction made by the proposed neural models show a good agreement with the measurements

Keywords

feedforward neural nets; indoor radio; learning (artificial intelligence); multilayer perceptrons; regression analysis; telecommunication computing; ANN prediction model; artificial neural network; feedforward neural network; generalized regression neural network; indoor environment; multilayer perceptron; propagation path loss; Artificial neural networks; Buildings; Feedforward neural networks; Floors; Indoor environments; Mobile communication; Multilayer perceptrons; Neural networks; Predictive models; Propagation losses;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless and Mobile Computing, Networking and Communications, 2006. (WiMob'2006). IEEE International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0494-0

Type

conf

DOI

10.1109/WIMOB.2006.1696368

Filename

1696368

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2572339