LSTM多步长matlab代码

以下是LSTM多步长MATLAB代码的示例：

% 加载数据
data = readmatrix('original_data.xlsx')';
label = readmatrix('fault_labels.xlsx');

% 划分测试集和训练集
train_data = data(1:4,1:2:700);
train_label = label(1:2:700);

test_data = data(1:4,2:2:700);
test_label = label(2:2:700);

% 定义LSTM网络架构
inputSize = 12;
numHiddenUnits = 100;
numClasses = 9;

layers = [
    sequenceInputLayer(inputSize)
    bilstmLayer(numHiddenUnits,'OutputMode','last')
    fullyConnectedLayer(numClasses)
    softmaxLayer
    classificationLayer];

% 训练LSTM网络
options = trainingOptions('adam', ...
    'MaxEpochs',100, ...
    'MiniBatchSize',64, ...
    'ValidationData',{test_data,test_label}, ...
    'ValidationFrequency',30, ...
    'Verbose',false);

net = trainNetwork(train_data,train_label,layers,options);

% 预测测试集
YPred = classify(net,test_data);

% 计算准确率
accuracy = sum(YPred == test_label)/numel(test_label);
disp("Accuracy: " + accuracy);

该代码加载数据，划分测试集和训练集，定义LSTM网络架构，训练LSTM网络，预测测试集并计算准确率。