A novel hybrid autoregressive integrated moving average and artificial neural network model for cassava export forecasting
© 2019 The Authors. Published by Atlantis Press SARL. This paper proposes a novel hybrid forecasting model combining autoregressive integrated moving average (ARIMA) and artificial neural network (ANN) with incorporating moving average and the annual seasonal index for Thailand’s cassava export (i.e...
Saved in:
Main Authors: | , , |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074649880&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67761 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |