Can I train the SAME neural network with multiple datasets using Neural Fitting Tool?

11 次查看（过去 30 天）
Georgios Etsias
Georgios Etsias 2018-7-17
评论： Emily LaPrime 2021-4-1
After training the network for the first time I get the option of either retraining it with the same data set, or by pressing NEXT just to test it over a new one. If I go back and add a new data set it seems that the former network is lost and training begins from scratch.
  2 个评论
Aquatris
Aquatris 2018-7-17
You can combine all the data sets you want to use to train your NN into a single dataset simply by cascading them.
For instance, you have data set 1 with input u1 and output y1, and data set 2 with u2 and y2. than you create a new data set by simply defining u = [u1;u2] and y = [y1;y2].
Georgios Etsias
Georgios Etsias 2018-7-18
The training datasets should have the same dimension with the dataset I'll use for prediction though?

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Greg Heath
Greg Heath 2018-7-17
In order to not forget a learned dataset while learning a new one:
Continue training with a mixture (NOT a concatenation!) of the
two. The training ratio should be approximately the same as the
expected ratio in the implementation space.
Hope this helps.
Thank you for formally accepting my answer
Greg
  3 个评论
显示 1更早的评论
Emily LaPrime
Emily LaPrime 2021-4-1
Greg,
Could you elaborate on creating a mixture of the two data sets? I am trying to train a network to classify using 4 sets of training data. I need the network to learn each set of data so that when I use the testing data the output is classified using the results of the data used to train.

请先登录，再进行评论。

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

Community Treasure Hunt

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

Start Hunting!

Translated by