Towards Accurate Retail Demand Forecasting Using Deep Neural Networks

Shanhe Liao; Jiaming Yin; Weixiong Rao

doi:10.1007/978-3-030-59419-0_44

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Towards Accurate Retail Demand Forecasting Using Deep Neural Networks

Shanhe Liao Jiaming Yin Weixiong Rao

Year: 2020 Lecture notes in computer science Pages: 711-723 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-59419-0_44

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Keywords:

Computer science Univariate Product (mathematics) Demand forecasting Multivariate statistics Graph Data mining Artificial intelligence Variable (mathematics) Artificial neural network Time series Machine learning Operations research Theoretical computer science

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Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Forecasting Techniques and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Towards Accurate Retail Demand Forecasting Using Deep Neural Networks

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