1.軟體版本
matlab2021a
2.部分核心代碼
![](https://img.laitimes.com/img/_0nNw4CM6IyYiwiM6ICdiwiI0gTMx81dsQWZ4lmZf1GLlpXazVmcvwFciV2dsQXYtJ3bm9CX9s2RkBnVHFmb1clWvB3MaVnRtp1XlBXe0xCMy81dvRWYoNHLwEzX5xCMx8FesU2cfdGLwMzX0xiRGZkRGZ0Xy9GbvNGLpZTY1EmMZVDUSFTU4VFRR9Fd4VGdsYTMfVmepNHLrJXYtJXZ0F2dvwVZnFWbp1zczV2YvJHctM3cv1Ce-cmbw5SM4AzM0cjZjJDMkRjNjNDNzYzXxIDNxUTMwEzLcBTMyIDMy8CXn9Gbi9CXzV2Zh1WavwVbvNmLvR3YxUjLyM3Lc9CX6MHc0RHaiojIsJye.png)
clear variables;
close all;
load('TrainingData.mat');
load('ValidationData.mat');
%% Define training parameters
MiniBatchSize = 1000;
MaxEpochs = 100;
InputSize = 2*NumOFDMsym*NumSC;
NumHiddenUnits = 16;
NumClass = length(Label);
Layers = [ ...
sequenceInputLayer(InputSize)
lstmLayer(NumHiddenUnits,'OutputMode','last')
fullyConnectedLayer(NumClass)
softmaxLayer
classificationLayer];
Options = trainingOptions('adam',...
'InitialLearnRate',0.01,...
'ValidationData',{XValid,YValid}, ...
'ExecutionEnvironment','auto', ...
'GradientThreshold',1, ...
'LearnRateDropFactor',0.1,...
'MaxEpochs',MaxEpochs, ...
'MiniBatchSize',MiniBatchSize, ...
'Shuffle','every-epoch', ...
'Verbose',0,...
'Plots','training-progress');
%% Train DNN
Net = trainNetwork(XTrain,YTrain,Layers,Options);
save('TrainedNet','Net','MiniBatchSize');
3.操作步驟與仿真結論