scholarly journals Research on Regional Logistics Demand Forecast Based on Improved Support Vector Machine: A Case Study of Qingdao City under the New Free Trade Zone Strategy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 9551-9564 ◽  
Author(s):  
Nan Yu ◽  
Wei Xu ◽  
Kai-Li Yu
Keyword(s):  
Support Vector Machine ◽  
Free Trade ◽  
Free Trade Zone ◽  
Support Vector ◽  
Demand Forecast ◽  
Regional Logistics ◽  
Qingdao City ◽  
Logistics Demand ◽  
Improved Support Vector Machine

Research on SVM Line Loss Rate Prediction Based on Heuristic Algorithm

2013 ◽  
Vol 291-294 ◽  
pp. 2164-2168 ◽  
Author(s):  
Li Tian ◽  
Qiang Qiang Wang ◽  
An Zhao Cao
Keyword(s):  
Support Vector Machine ◽  
Heuristic Algorithm ◽  
Support Vector Machine Model ◽  
Loss Rate ◽  
Heuristic Algorithms ◽  
Support Vector ◽  
Machine Model ◽  
Rate Prediction ◽  
Line Loss

With the characteristic of line loss volatility, a research of line loss rate prediction was imperatively carried out. Considering the optimization ability of heuristic algorithm and the regression ability of support vector machine, a heuristic algorithm-support vector machine model is constructed. Case study shows that, compared with other heuristic algorithms’, the search efficiency and speed of genetic algorithm are good, and the prediction model is with high accuracy.

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