What solvers can be used for LSTM timeseries forecast.

5 次查看（过去 30 天）
James Lu
James Lu 2018-4-13
回答： mizuki 2018-4-14
Hi, I have a problem running the example openExample('nnet/TimeSeriesForecastingUsingDeepLearningExample').
First of all, this example wasn't found. After I copied the code and pasted in the editor and run it, it says that I used a invalid solver. Can anyone help me with this? What solver options can I use?
  1 个评论
James Lu
James Lu 2018-4-13
This is the linke to the documentation page: https://www.mathworks.com/help/nnet/examples/time-series-forecasting-using-deep-learning.html

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

mizuki
mizuki 2018-4-14
In R2017b, you can use only 'sgdm' (Stochastic gradient descent with momentum optimizer). In R2018a, there are two additional optimizer options - 'rmsprop' and 'adam.'
See the "solverName" section under trainingoptions documentation: https://.mathworks.com/help/nnet/ref/trainingoptions.html

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

Community Treasure Hunt

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

Start Hunting!

Translated by