How to create a LSTM model for multivariate time dependent time series

18 次查看（过去 30 天）
Omid
Omid 2023-8-22
回答： Venu 2024-1-11
I want to forecast a time series using two dependent time series. How can I do this task with Matlab Deep Learning Toolbox? I used the following architecture:
Sequence Input Layer(2) LSTM Layer(100) Fully Connected Layer(1) Regression Layer
I shifted my training output by one time step and standardized the data. When I run my code I get the following error:
Invalid training data. For cell array input, responses must be a an N-by-1 array of sequences, where N is the number of sequences. …

请先登录，再回答此问题。

回答（1 个）

Venu
Venu 2024-1-11

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

产品


版本

R2023a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by