GRU预测模型matlab

可以使用Matlab中的Deep Learning Toolbox来构建GRU预测模型。以下是一个简单的示例代码：

% 准备数据
data = randn(1000,1);
sequenceLength = 10;
XTrain = zeros(sequenceLength,1000-sequenceLength);
YTrain = zeros(1,1000-sequenceLength);
for i = 1:1000-sequenceLength
    XTrain(:,i) = data(i:i+sequenceLength-1);
    YTrain(i) = data(i+sequenceLength);
end

% 构建GRU模型
numFeatures = 1;
numHiddenUnits = 100;
numResponses = 1;
layers = [ ...
    sequenceInputLayer(numFeatures)
    gruLayer(numHiddenUnits,'OutputMode','last')
    fullyConnectedLayer(numResponses)
    regressionLayer];

% 训练模型
options = trainingOptions('adam', ...
    'MaxEpochs',100, ...
    'MiniBatchSize',64, ...
    'SequenceLength','longest', ...
    'Shuffle','never', ...
    'Verbose',false);
net = trainNetwork(XTrain,YTrain,layers,options);

% 预测结果
XTest = data(end-sequenceLength+1:end)';
YPred = predict(net,XTest);