How to create an ANN regression model with multiple vectors as input and multiple vectors as output?

There is one input variable and one output variable.

However each data point of the input/output variable is a vector.

Size of each input vector is 141X1 and size of each output vector is 400X1.

I have attached the input data file(Ivec.xls) and output data file(Ovec.xls)

For training:

Input vectors: Ivec(:,1:9) and output vectors: Ovec(:,1:9)

For testing:

Input vector: Ivec(:,10) and the predicted_Ovec10 can be compared with Ovec(:,10)

to know the performance of the model.

How to create this ANN regression model? Please help.

Answer 1

[Nihal Reddy]

I understand you want to create an ANN regression model where each input and output is a vector. You can achieve this using the "fitrnet" function which takes input and output in form of a vector.

Refer to the following documentation links for more information and examples-

Train neural network regression model - MATLAB fitrnet (mathworks.com)

Neural network model for regression - MATLAB (mathworks.com)

Neural Networks - MATLAB & Simulink (mathworks.com)

[Josh]

@Nihal Reddy Thanks for the reply and my apologies for the delay in reply because of some issues. I am finding it bit confusing while using vector of vectors as input and vector of vectors as output. May you help with an example. Please help.