Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation

Autor: Azizi, Fityan, Wibowo, Wahyu Catur

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 5 (2022): October 2022; 855-859
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 5 (2022): Oktober 2022; 855-859

Intermittent demand data is data with infrequent demand with varying number of demand sizes. Intermittent demand forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts. Based on previous re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f73549836691d17723c6410fd6241db6
https://doi.org/10.29207/resti.v6i5.4435