new_org
/
time-series-learning
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update Task3 模型建立之CNN+LSTM.ipynb

This commit is contained in:
Harold-Ran 2021-10-21 15:20:15 +08:00 committed by GitHub
parent 95b07f1edc
commit ab3c8c886f
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Task3 模型建立之CNN+LSTM.ipynb
View File

@ -375,7 +375,7 @@
"\n", "\n",
"由于每条数据在时间上有重叠，我们取数据的前12个月拼接起来，就得到了长度为（数据条数×12个月）的序列数据，如Task3-图1所示：\n", "由于每条数据在时间上有重叠，我们取数据的前12个月拼接起来，就得到了长度为（数据条数×12个月）的序列数据，如Task3-图1所示：\n",
"\n", "\n",
"<img style=\"float: center;\" src=\"Task3-图1.png\" width=\"70%\">\n", "<img style=\"float: center;\" src=\"Task3-图1.jpg\" width=\"70%\">\n",
"\n", "\n",
"然后我们以每个月为起始月，接下来的12个月作为模型输入X，后24个月的Nino3.4指数作为预测目标Y构建训练样本，如Task3-图2所示：\n", "然后我们以每个月为起始月，接下来的12个月作为模型输入X，后24个月的Nino3.4指数作为预测目标Y构建训练样本，如Task3-图2所示：\n",
"<img style=\"float: center;\" src=\"Task3-图2.png\" width=\"70%\">\n", "<img style=\"float: center;\" src=\"Task3-图2.png\" width=\"70%\">\n",