Title :
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
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;
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
DOI :
10.1109/WIMOB.2006.1696368
