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MLP neural network-based regional logistics demand prediction · Study

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ArticleMLP neural network-based regional logistics demand prediction

Hongpeng Guo2020

Article2020

MLP neural network-based regional logistics demand prediction

Hongpeng Guo · Cheng Guo · Beichun Xu · Yujie Xia · Fanhui Sun

47 citations·0/0 files stored·Neural Computing and Applications

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Forecasting Techniques and Applications Neural Networks and Applications Machine Learning and ELM

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References

2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications 2019The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era 2015Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment 2017Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach 2017Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context 2013An intermodal freight transport system for optimal supply chain logistics 2015Methodology of emergency medical logistics for public health emergencies 2016Demand forecasting and order planning for humanitarian logistics: An empirical assessment

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Year2020

Typearticle

Published2020-11-18

VenueNeural Computing and Applications

ISSN-L0941-0643

Languageen

Citations47

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1007/s00521-020-05488-0

openalex_workW3104587946

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