2019 Vol.2 Oct. No.5

• Title: Fuzzy correction method for marine meteorological navigation data based on artificial neural network
• Name: Xin Luan
• Company: PLA 91977 troops
• Abstract:

  With the development of national marine economy, the demand for trade has increased, and the ocean navigation is seriously affected by weather and sea conditions. Severe weather and sea conditions such as squally winds, huge waves, heavy rain, dense fog and sea ice seriously threaten navigation safety and affect economic benefits. Aiming at this problem, a method based on artificial neural network for fuzzy correction of marine meteorological navigation data is proposed. Firstly, the fuzzy state of marine meteorological navigation data is determined, and then the data fuzzy correction membership function is established. The data point fuzzy correction is realized by inputting and outputting artificial neural network nodes. Finally, through simulation experiments, the artificial neural network-based fuzzy correction method for marine meteorological navigation data can improve the safety factor of navigation and ensure navigation safety.

• Keyword: Artificial Neural Network; Marine Meteorological Navigation; Data Fuzzy Correction; Method;
• DOI: 10.12250/jpciams2019050537
• Citation form: Xin Luan.Fuzzy correction method for marine meteorological navigation data based on artificial neural network[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 123-126.

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