BP神经网络平衡岬湾岸线形态模型及其应用研究  

Exploration and application of the static equilibrium headland-bay plane curve shape rules based on BP neural network

作　　者：孙家文[1,2] 黄杰[1] 于永海[1] 尹晶[1,2] 王浩然 

机构地区：[1]国家海洋环境监测中心国家海洋局海域管理与技术重点实验室,辽宁大连116023 [2]大连理工大学海岸和近海工程国家重点实验室,辽宁大连116024

出　　处：《海洋环境科学》2018年第1期143-150,共8页Marine Environmental Science

基　　金：海洋公益专项资金项目(201405025);国家海洋局海域管理与技术重点实验室基金项目(201304)

摘　　要：建立了基于BP神经网络的平衡岬湾岸线形态模型。归纳了运用该模型判断岸线是否达到平衡状态的判别方法,对巴西南部的Taquaras-Taquarin海湾稳定形态进行验证,验证效果较好。采用人工岬角设计案例,对比了该模型与抛物线模型,结果显示在岬头处BP神经网络平衡岬湾平面曲线形态模型与岸线拟合效果更好,且模型操作更简便。The equilibrium headland-bay plane curve shapemodle is built based on BP neural network. This paper generalizes the method of determining whether the shoreline reaches equilibrium states by using this model,and verifies the shape of Taquaras-Taquarin bay,which has achieved a good result. It is used to design man-made headland and compared with the parabola model. The result shows that BP neural network equilibrium headland-bay plane curve shape model in fits the cape better,and it is more easier to operate.

关 键 词：静态平衡岬湾 神经网络模型 抛物线模型 

分 类 号：P731.2[天文地球—海洋科学]