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doi.org/10.1016/j.cie.2020.106435
Other
An optimized model using LSTM network for demand forecasting
Hossein Abbasimehr
15
,
Mostafa Shabani
7
,
Mohsen Yousefi
4
View all 3 authors
Computers & Industrial Engineering
6.70
Volume: 143, Pages: 106435 - 106435
Published
: Mar 30, 2020
348
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Abstract
No abstract.
Paper Fields
Data mining
Exponential smoothing
Autoregressive model
Mathematics
Biology
Computer science
Paleontology
Autoregressive integrated moving average
Machine learning
Engineering
Series (stratigraphy)
Computer vision
Hyperparameter optimization
Support vector machine
Time series
Demand forecasting
Artificial intelligence
Artificial neural network
Hyperparameter
Econometrics
Smoothing
Operations research
Paper Details
Title
An optimized model using LSTM network for demand forecasting
DOI
doi.org/10.1016/j.cie.2020.106435
Published Date
Mar 30, 2020
Journal
Computers & Industrial Engineering
Volume
143
Pages
106435 - 106435
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P34 The effect of sex on the efficacy and safety of dabigatran dual therapy in atrial fibrillation after PCI: a subgroup analysis from the RE-DUAL PCI trial
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