MATLAB Answers

Time series forecasting using deep learning with 2 numFeatures

9 views (last 30 days)
How to use two input features to get 1 output using this example?
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?

Accepted Answer

Anshika Chaurasia
Anshika Chaurasia on 30 Sep 2020
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];
  2 Comments
israt fatema
israt fatema on 12 Feb 2021
Hi, the Matlab example https://au.mathworks.com/help/deeplearning/ug/time-series-forecasting-using-deep-learning.html read 1 (one feature). I couldn't read more than 1 feature from the dataset (timeseries) if i want to use numFeatures = 2
%data = chickenpox_dataset;
%data = [data{:}];
How to read more than 1 (for example numFeatures = 2 and output = 1) feature from the dataset to get 1 output?
Thanks in advance.

Sign in to comment.

More Answers (0)

Community Treasure Hunt

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

Start Hunting!