Xuefei Li
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China
F. Soler-Flores
Escuela Tecnica Superior de Ingenieros de Caminos, Universidad Politecnica de Madrid, Madrid, 28040, Spain
N. Gonzalez-Cancelas
Escuela Tecnica Superior de Ingenieros de Caminos, Universidad Politecnica de Madrid, Madrid, 28040, Spain
A.C. Orive
Escuela Tecnica Superior de Ingenieros de Caminos, Universidad Politecnica de Madrid, Madrid, 28040, Spain
ABSTRACT
Forecasting the berthing time of the ships has a great significance to the operation management and task arrangement in the port. The factors which influence the berthing time are proposed, the research ideas are designed and the BP neural network, RBF neural network and linear neural network are constructed. A case study which uses the data of Valencia port is analyzed. The outputs of the three neural networks are evaluated and the best neural network is obtained. The simulation results show that the outputs of the neural networks have the high accuracy and conform to the actual work needs.
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How to cite this article
Xuefei Li, F. Soler-Flores, N. Gonzalez-Cancelas and A.C. Orive, 2013. Study on Forecasting the Berthing Time of the Ships in the Port. Journal of Applied Sciences, 13: 1970-1974.
DOI: 10.3923/jas.2013.1970.1974
URL: https://scialert.net/abstract/?doi=jas.2013.1970.1974
DOI: 10.3923/jas.2013.1970.1974
URL: https://scialert.net/abstract/?doi=jas.2013.1970.1974