摘要
近岸海洋波浪的研究对航海、海洋资源的利用、海洋灾难的预防具有十分重要的意义。介绍在一个试验场景中为研究近海海浪对海洋油气田勘探和开采的影响,根据实测数据和缓坡方程,采用径向基函数(RBF)神经网络建立控制模型模拟近海海浪的方法和过程。
The research on the simulation of wave in shore plays an essentiai role in the navigation,utilization of ocean resources and prevention of sea disaster. A proving ground is proposed in this paper in order to research on the wave influence in shore imposed on the prospecting and mining of oil and gas under sea. Based on the actual measured data and mild-slope equation, a neural network with radial-basis function （RBF） is adopted to establish the control model simulating the method and process of wave.
出处
《苏州大学学报（工科版）》
CAS
2007年第1期27-30,共4页
Journal of Soochow University Engineering Science Edition (Bimonthly)
基金
江苏省科技厅资金资助项目(编号02KJB520001)
江苏省高校自然科学基金资助项目(编号BK2002040)
关键词
近岸海浪
海浪模拟
缓坡方程
神经网络
径向基函数
wave in shore
wave simulation
mild-slope equation
neural network
radial-basis function
