Hello dear Community,

i am currently trying to use a Feed-Forward Neural Network for a regression problem.
The input data i want to feed in are "rotational speed", "torque" and "time".
The target data is the temperature of an electrical drive.
And then i will have different operating points dependend on speed:
2000 rpm, 4000 rpm ….
The torque and time however stays the same for each point.
Right now, i am using a sequenceInputLayer and arranged the Data in 4 cells, where each cell contains 3 columns of data. One cell represents one OP.
The results are not good, and my gut tells me, that i might have a misunderstanding the way i treat the input data.

I am using MATLAB r24a and am training the network with the "trainnet"-function.
If you have any Suggestions to do this in a different way, go ahead.
Thank you very much in advance.Hello dear Community,

i am currently trying to use a Feed-Forward Neural Network for a regression problem.
The input data i want to feed in are "rotational speed", "torque" and "time".
The target data is the temperature of an electrical drive.
And then i will have different operating points dependend on speed:
2000 rpm, 4000 rpm ….
The torque and time however stays the same for each point.
Right now, i am using a sequenceInputLayer and arranged the Data in 4 cells, where each cell contains 3 columns of data. One cell represents one OP.
The results are not good, and my gut tells me, that i might have a misunderstanding the way i treat the input data.

I am using MATLAB r24a and am training the network with the "trainnet"-function.
If you have any Suggestions to do this in a different way, go ahead.
Thank you very much in advance. Hello dear Community,

i am currently trying to use a Feed-Forward Neural Network for a regression problem.
The input data i want to feed in are "rotational speed", "torque" and "time".
The target data is the temperature of an electrical drive.
And then i will have different operating points dependend on speed:
2000 rpm, 4000 rpm ….
The torque and time however stays the same for each point.
Right now, i am using a sequenceInputLayer and arranged the Data in 4 cells, where each cell contains 3 columns of data. One cell represents one OP.
The results are not good, and my gut tells me, that i might have a misunderstanding the way i treat the input data.

I am using MATLAB r24a and am training the network with the "trainnet"-function.
If you have any Suggestions to do this in a different way, go ahead.
Thank you very much in advance. deep learning, neural network, regression, data MATLAB Answers — New Questions

​