Demand forecasting method in logistics management based on support vector machine

2011 ◽  
Author(s):  
Yao Yan
Keyword(s):  
Support Vector Machine ◽  
Demand Forecasting ◽  
Logistics Management ◽  
Support Vector ◽  
Forecasting Method

scholarly journals A support vector machine for model selection in demand forecasting applications

2018 ◽  
Vol 121 ◽  
pp. 1-7 ◽  
Author(s):  
Marco A. Villegas ◽  
Diego J. Pedregal ◽  
Juan R. Trapero
Keyword(s):  
Support Vector Machine ◽  
Model Selection ◽  
Demand Forecasting ◽  
Support Vector

scholarly journals A Hybrid Forecasting Method for Wind Power Ramp Based on Orthogonal Test and Support Vector Machine (OT-SVM)

2017 ◽  
Vol 8 (2) ◽  
pp. 451-457 ◽  
Author(s):  
Yongqian Liu ◽  
Ying Sun ◽  
David Infield ◽  
Yu Zhao ◽  
Shuang Han ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Wind Power ◽  
Orthogonal Test ◽  
Support Vector ◽  
Forecasting Method ◽  
Hybrid Forecasting

scholarly journals Uncertain Machine Load Forecasting Based on Least Squares Support Vector Machine

2021 ◽  
Author(s):  
Qiaofeng Meng
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Strong Correlation ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Load Forecasting ◽  
Support Vector ◽  
Shop Scheduling ◽  
Machine Load ◽  
Forecasting Method

Machine state is a very important constraint for job shop scheduling. For the uncertainty machine state, the paper proposes a machine load forecasting method based on support vector machine. The method reduces complexity and improves efficiency by eliminating a large number of unrelated input factors and selecting a small number of input parameters with strong correlation. The efficiency of the algorithm is verified by the production workshop instance.

Sign in / Sign up

Export Citation Format

Share Document