A forecast model of the number of containers for containership voyage
DOI10.3390/A11120193zbMath1461.90018OpenAlexW2902751310WikidataQ128855612 ScholiaQ128855612MaRDI QIDQ1712052
Guoyou Shi, Xiaotong Sun, Yuchuang Wang
Publication date: 21 January 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a11120193
Inference from stochastic processes and prediction (62M20) Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) Inference from stochastic processes (62M99)
Uses Software
Cites Work
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- A prediction of precipitation data based on support vector machine and particle swarm optimization (PSO-SVM) algorithms
- Practical selection of SVM parameters and noise estimation for SVM regression
- Support-vector networks
- A fire detection algorithm based on Tchebichef moment invariants and PSO-SVM
- Time series forecasting using a two-level multi-objective genetic algorithm: a case study of maintenance cost data for tunnel fans
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