Modeling and Simulation of Mooring Force Prediction Based on Improved GA-BP Network

Authors

Shifeng Li, 1. Mechanical Engineering Inst, Dalian Jiaotong University, Dalian 116028, China;;
Zhanzhi Qiu, 1. Mechanical Engineering Inst, Dalian Jiaotong University, Dalian 116028, China;;2. Software Technology Inst, Dalian Jiaotong University, Dalian 116028, China;

Abstract

Abstract: According to the mooring security and early warning control requirement of the large open sea terminal, a ship mooring force prediction model based on genetic algorithm and BP network was studied. Environmental dynamic factors were considered and a model structure was determined by a weight statistics method; the learning method was improved by individual parent information and contemporary individual local gradient information; according to the improved model, a ship mooring force prediction method of the open sea terminal was proposed. The simulation results show that the performance of the prediction model has improved in the iteration number, the largest fitness and prediction accuracy. The average error is less than 10% which satisfies the actual demand well.

Recommended Citation

Li, Shifeng and Qiu, Zhanzhi (2020) "Modeling and Simulation of Mooring Force Prediction Based on Improved GA-BP Network," Journal of System Simulation: Vol. 29: Iss. 7, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201707009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss7/9

First Page

1457

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201707009

Last Page

1463

CLC

TP301.6

Recommended Citation

Li Shifeng, Qiu Zhanzhi. Modeling and Simulation of Mooring Force Prediction Based on Improved GA-BP Network[J]. Journal of System Simulation, 2017, 29(7): 1457-1463.

DOI

10.16182/j.issn1004731x.joss.201707009