下面是LSTM时间序列模型预测的Python代码: 1.导入所需的库 ```python import numpy as np import pandas as pd from keras.models import Sequential from keras.layers import LSTM, Dense from sklearn.preprocessing import MinMaxScaler ``` 2.读取数据 ```python data = pd.read_csv('data.csv', index_...
1.2 LSTM单元结构图 图4,5是现在比较常用的LSTM单元结构示意图: 其主要结构成分包含如下: 输入节点input node:接受上一时刻隐层单元的输出及当前时刻是样本输入; 输入门input gate:可以看到输入门会和输入节点的值相乘,组成LSTM中internal state单元值的...
下面是完整的Matlab代码实现: % 准备数据 data = randn(100,1); train_data = data(1:80); test_data = data(81:end); % 定义LSTM模型 layers = [ ... sequenceInputLayer(1) lstmLayer(10,'OutputMode','sequence') lstmLayer(10,'OutputMode','last') fullyConnectedLayer(1) regressionLayer]; ...
attention-lstm代码 下面是Attention LSTM模型的参考代码: ```python import torch import torch.nn as nn import torch.optim as optim class AttentionLSTM(nn.Module): def __init__(self, input_size, hidden_size, output_size): super(AttentionLSTM, self).__init__() self.hidden_size = hidden_...