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.

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Copyright

The authors have no competing interests.