Application of a Composite Differential Evolution Algorithm in Optimal Neural Network Design for Propagation Path-Loss Prediction in Mobile Communication Systems

In this letter, we present an alternative procedure for the prediction of propagation path loss in urban environments, which is based on artificial neural networks (ANNs). The correct selection of a neural network size can increase its response speed and therefore increase the overall system perform...

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Veröffentlicht in:	IEEE antennas and wireless propagation letters 2013, Vol.12, p.364-367
Hauptverfasser:	Sotiroudis, S. P., Goudos, S. K., Gotsis, K. A., Siakavara, K., Sahalos, J. N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Approximation methods Artificial neural networks Differential evolution (DE) evolutionary algorithms (EAs) mobile communications neural network Optimization optimization methods propagation path loss Ray tracing self-adaptive differential evolution Training
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