With the goal of determining the optimal ship type parameters for large cruise ships and improving their nav-igation performance,research is conducted on data mining based ship type characteristics and parameter analysis methods for large cruise ships.Using fuzzy C-means clustering algorithm to cluster data on large cruise ship types and explore the charac-teristics of large cruise ship types.Based on rough set theory,the results of feature mining for large cruise ship types are re-duced,and the parameters corresponding to the reduced ship type features are used as ship type parameters for optimizing ship type performance.Using the free deformation method,construct a large-scale cruise ship type transformation model.Adjust the control vertices of the model control body based on changes in ship type parameters,and change the shape of large cruise ships.Using regression analysis methods,fit the ship type parameters in the ship type transformation model to determine the optimal ship type parameters for large cruise ships.The experimental results show that this method can accur-ately mine the characteristics of large cruise ship types and determine the optimal ship type parameters.The resistance of cruise ships decreased by 1.48％under the optimal ship type parameters,improving the navigation performance of large cruise ships.
关键词
数据挖掘/大型邮轮/船型特征/粗糙集/回归分析
Key words
data mining/large cruise ships/ship type characteristics/rough set/regression analysis
维普
万方数据