The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
"I'm looking for documentation about forecasting with Neural Networks"
encripteduser
Member Posts: 4 Contributor I
Hello Guys,
I'm looking for documentation about forecasting time series (sales) with neural networks, then I'll compare the performance of the NN with other classical methods like SARIMA or Exponential Smoothing.
I haven't found much content about this. Can you give me a hand?
I have the sales of 1 product that is complex to forecast (units and $), and I have more economic data like conversion rates (because imports affects the directly the sales of this product).
Many thanks in advance,
Best.
AL
I'm looking for documentation about forecasting time series (sales) with neural networks, then I'll compare the performance of the NN with other classical methods like SARIMA or Exponential Smoothing.
I haven't found much content about this. Can you give me a hand?
I have the sales of 1 product that is complex to forecast (units and $), and I have more economic data like conversion rates (because imports affects the directly the sales of this product).
Many thanks in advance,
Best.
AL
Tagged:
0
Answers
are you sure you want to do a "direct forecast"? It is often more useful to window the document ,extract features and then run a regression or even classification model on it.
~Martin
Dortmund, Germany
By complete chance I was asked a similar question recently elsewhere. SARIMA is available in R, and R is available in RapidMiner. Direct comparison therefore possible. https://onlinecourses.science.psu.edu/stat510/node/68
Good luck!
I have no problems forecasting with SARIMA or ES models. My doubts are about Artificial Neural Networks.
I've been looking applications of this models and are mainly used in classification. But that assumes a limited number of outputs.
Question, the output of a Neural network it can be a positive variable (Y(t+h))? where h is a number of steps forward the last data available in t. This means I don't want a classification for a instance of inputs, I'd like to get a estimated number of sales for a specific time horizon.
I'm learning about ANN and any help with this topic it will be appreciated.
Best
H
Now I'm having troubles building the input of data for the models.
Specifically I want to do this:
Source: http://www.simafore.com/blog/bid/110752/Time-Series-Forecasting-from-windowing-to-predicting-in-RapidMiner
I have my time series in the first column of an excel file, but I can't build the data set in the format required.
Now I'd like to know how can I get more statistics about the results of the neural networks prediction. How can I calculate the MAPE in the validation set? (assuming that I have real values and predicted values (with ANN)).
Thanks for your help!
Best,
AL
H