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Neural Networks for Radiowave Simulation by Mustaf Mohamed is a document available to read on EtoBox.
What is Neural Networks for Radiowave Simulation about?
This document discusses using neural networks to simulate the propagation of electromagnetic fields for land mobile radio services. It introduces two neural network approaches - Backpropagation and GMDH - that are trained on measurement data to predict signal strength between base stations and mobile stations. The neural network models aim to more accurately account for terrain and environmental factors than traditional empirical propagation models. Sample output from the trained neural networks is shown in
- Author
- Mustaf Mohamed
- Language
- EN