滑动窗口+gru matlab

滑动窗口GRU是一种用于序列数据预测和建模的神经网络模型。它结合了滑动窗口技术和Gated Recurrent Unit（GRU）的特性。

在Matlab中，可以使用以下代码实现滑动窗口GRU模型：

% 设置滑动窗口大小和步长
window_size = 10;
step_size = 1;

% 创建输入和目标序列
input_sequence = train_y_feature_label(:, 1:end-1);
target_sequence = train_y_feature_label(:, end);

% 初始化滑动窗口
num_windows = floor((size(input_sequence, 1) - window_size) / step_size) + 1;
input_windows = zeros(num_windows, window_size, size(input_sequence, 2));
target_windows = zeros(num_windows, 1);

% 生成滑动窗口
for i = 1:num_windows
    start_index = (i-1)*step_size + 1;
    end_index = start_index + window_size - 1;
    input_windows(i, :, :) = input_sequence(start_index:end_index, :);
    target_windows(i, :) = target_sequence(end_index, :);
end

% 创建GRU模型
gru_model = gruLayer(hidden_size, 'OutputMode', 'sequence');

% 训练GRU模型
options = trainingOptions('adam', 'MaxEpochs', num_epochs);
trained_model = trainNetwork(input_windows, target_windows, gru_model, options);