The week's pick
Reseach Article
Multisteps Sales Forecasting using LSTM Compared to GMDH
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 1 |
| Year of Publication: 2021 |
| Authors: Ghita Rguiga, Jamal Benhra |
10.5120/ijca2021921283
|
Ghita Rguiga, Jamal Benhra . Multisteps Sales Forecasting using LSTM Compared to GMDH. International Journal of Computer Applications. 183, 1 ( May 2021), 46-50. DOI=10.5120/ijca2021921283
Abstract
This work reports the effectiveness of using Recurrent Neural Network LSTMs for multistep sales forecasting instead of a standalone approach and the use of time series data, treatment of inflation, forecasting options and tunings to help decision executives make better decisions on forecast and management systems. This work is lead on historical sales based on a year of demand records, the program established using LSTMs showed minimal loss and optimal forecasts compared to prediction using GMDH which is known for management forecasts such as inventories and sales forecasting.
References
- Nilanjan Dey, Aboul Ella Hassanien,2017, Internet Of Things And Big Data Analytics Toward Next-Generation Intelligence
- Big Data Challenges and Issues: Review on Analytic Technique - Issn: 0976-5166 - Tannu Et Al. / Indian Journal of Computer Science and Engineering (Ijcse) Jul 2017
- Ghita.R, Jamal.B, 2019, Sales Forecasting Using Lstm In the Context of a Moroccan Company - Mosim20, Conference Paper
- Dimitr.is,2019, Energy Demand Prediction Using GMDH Networks
- Kalaiarasan T R, Anandkumar V, The International Journal of Innovative Technology and Exploring Engineering (Ijitee) Issn: 2278-3075, Volume-8 Issue-9, July 2019, Sales Forecasting Using RNN
- Ai,Salim.B - December 2017 - international Journal of Interactive Multimedia And Artificial Intelligence - Doi: 0.9781/ Ijimai.2018.04.003, Innovate Your Strategy
- Ghita.R, Mosim20,2020, Sales Forecasting Based on LSTM In the Context of A Moroccan Company
- Alibpage , on August 27, 2015, Understanding LSTM Networks.
- S. J. Farlow, 2017, Self-Organizing Methods in Modeling: GMDH Type Algorithms - ISBN 9780824771614 - Published July 11, 1984 by CRC Press
- Dipti Srinivasan, Neurocomputing journal, 2008, Energy demand prediction using GMDH networks
- Pen Treebank, Pen.T,2018, Language Modelling
- Jaber.F, Ghita.R, Journal of operations management, optimization and decision support, ISSN: 2658-9141 JOMODS 2020, Forecasting Demand based on RNN.
Index Terms
Keywords