Research Article | OPEN ACCESS
Research on Port Food Transportation Port Food Transportation Mooring Load Prediction through Theoretical Calculation Model with the Wavelet Analysis
1, 2 Zheng Jian, 2Xiao Ying-Jie and 2Zhang Hao
1College of Transport and Communications
2Engineering Research Center of Simulation Technology, Ministry of Education, Shanghai Maritime University, Shanghai 201306, China
Advance Journal of Food Science and Technology 2015 9:722-726
Received: April ‎14, ‎2015 | Accepted: May ‎10, ‎2015 | Published: September 15, 2015
Abstract
In order to achieve the short-term and high-precision port food transportation port food transportation mooring load prediction, a new principle and method of ship’s port food transportation port food transportation mooring load measurements based on indirect measurement is presented in this study and an algorithm is proposed through which predictions are made by comb the wavelet multi-scale decomposition and reconstruction method. Simulation results show that the combined algorithm has achieved short-term and high-precision port food transportation port food transportation mooring load prediction results, that it has excellent subdivision and self- learning abilities and that it can meet the accuracy requirement of the port food transportation port food transportation mooring load prediction in engineering.
Keywords:
BP neural network, indirect measurement, mooring load, port food transportation,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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