摘要
首先将获取到的连续数据运用模糊C均值聚类算法离散化;然后将离散化的数据进行模糊关联挖掘;最后利用船舶中Z型实验时间序列验证船舶操纵模型的可靠性。实验结果表明,在存在环境干扰的情况下,预测航向偏差曲线更平滑,更能反映船舶操纵运动情况。
Firstly,the continuous data acquired was discrete using fuzzy C- means clustering algorithm. Then discrete data was fuzzy association mining. Finally,the ship in time series Z- type experiments verified the reliability of ship handling model. Experimental results show that in the presence of environmental interference,forecasting course deviation curve was more smooth,more reflective of ship maneuvering motion.
出处
《舰船科学技术》
北大核心
2016年第3X期76-78,共3页
Ship Science and Technology
