MATLAB: Time series forecasting using deep learning with 2 numFeatures

Question

How to use two input features to get 1 output using this example?

https://au.mathworks.com/help/deeplearning/ug/time-series-forecasting-using-deep-learning.html

This example use 1 numFeatures, for example if i have time series data with 2 features, wind speed and temperature, how can i use this example to forecast weather?

Answer 1

Hi Israt,

It is my understanding that you have two features as input and want to train the network with this input.

You could change numFeatures = 2 while defining sequenceInputLayer function as shown:

numFeatures = 2; %take 2 features as input
numResponses = 1; %give 1 output
layers = [ ...
    sequenceInputLayer(numFeatures)
    lstmLayer(numHiddenUnits)
    fullyConnectedLayer(numResponses)
    regressionLayer];