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DNN_D2F_channel_prediction.m

+function [predicted_D2F_gains,net,info] = DNN_D2F_channel_prediction(features,targets)
+MaxEpochs = 1000;
+layers = [sequenceInputLayer(size(features,1))
+          fullyConnectedLayer(40)
+          sigmoidLayer
+          fullyConnectedLayer(30)
+          sigmoidLayer
+          fullyConnectedLayer(20)
+          sigmoidLayer
+          fullyConnectedLayer(size(targets,1))
+          regressionLayer
+];
+options = trainingOptions('adam', ...
+    'MaxEpochs', MaxEpochs, ...
+    'MiniBatchSize', 64, ...
+    'InitialLearnRate', 0.01);
+options.Verbose = false;
+[net, info] = trainNetwork(features, targets, layers, options);
+test_data = rand(1, size(features,1));
+predicted_D2F_gains = predict(net, test_data.');
+end
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