【摘要】 在舰船开发过程中,耗费时间成本与经济成本最大的环节是舰船测试环节,每艘船在下水之前都要进行上百甚至上千次的水动力测试,海量的船舶测试数据对于新型船舶的设计与开发具有重要的指导作用。因此,从海量的船舶测试数据中提取有价值的信息,形成新的船舶性能数据,不仅可以缩短生产周期,而且能够指导船舶的设计过程,这是本文的研究重点。本文通过介绍数据挖掘技术和支持向量机技术,研究船舶性能快速比较算法以及性能统计。更多还原

【Abstract】 in the process of ship development, the most time-consuming and economic cost is the testing of ships. Each ship needs to carry out hundreds or even thousands of hydrodynamic tests before launching. Massive ship test data plays an important role in the design and development of new ships. Therefore, it can not only shorten the production cycle to extract valuable information from massive ship test data and form new ship performance data. Moreover, it can guide the ship design process, which is also the focus of this paper. By introducing data mining technology and support vector machine technology, we study the algorithm of ship performance fast comparison and performance statistics.更多还原