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| Authors | Aim | Methods |
|
| Popescu et al. [35] | To study the application of neural networks to the prediction of propagation path loss in urban and suburban environments | Feed forward neural networks |
| Sotiroudis et al. [36] | To propose an alternative neural network algorithm for the prediction of propagation path loss in urban environments | ANN |
| Oustlin et al. [34] | To analyze ANN models used for macrocell path loss estimation | ANN |
| Kalakh et al. [37] | To present an ultrawide band propagation channel modeling with neural networks in a mine environment | ANN |
| Zaarour et al. [38] | To use MLP and RBF artificial neural networks to study ultrawide band communication channels | ANN: multilayer perception (MLP) and radial basis function (RBF) |
| Sotiroudis et al. [39] | To produce an alternative procedure for predicting propagation path loss in urban environments | Artificial neural network and application of adaptive evolutionary algorithms |
| Ozdemir et al. [40] | To use the Levenberg–Marquardt algorithm for studying the propagation loss of FM radio stations | Levenberg–Marquardt algorithm ANN |
| Dela Cruz and Caluyo [41] | To develop a statistical path loss model by measuring indoor losses using a fixed portable indoor antenna | ANN |
| Nadir and Idrees Ahmad [42] | To address the applicability of the Okumura-Hata model in GSM frequency band of 890–960 MHz | ANN |
| Delos Angeles and Dadios [43] | To predict path loss for TV transmission using alternative neural networks, and ascertain the proposed model viability | ANN |
| Benmus et al. [44] | To predict the propagation path loss with an empirical model at the capital city of Libya | ANN |
| Ofure et al. [33] | To use a three-stage approach in the determination of GSM Rx level from atmospheric parameters | ANN |
| Eichie et al. [45] | To develop an ANN-based path loss estimation model for rural and urban areas | ANN |
| Moazenni [46] | To study the relation between the path loss propagation delay and the atmosphere parameter with a neural model | ANN |
| Wu et al. [47] | To propose a new artificial neural network prediction model for railway environments | ANN |
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