| 基于梯度训练法的径向基函数潮流分离方法 |
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| 引用本文： | 张红梅,黄家勇,赵建虎,陈志高,朱世芳.基于梯度训练法的径向基函数潮流分离方法[J].武汉大学学报(信息科学版),2017,42(12):1811-1817. |
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| 作者姓名： | 张红梅 黄家勇 赵建虎 陈志高 朱世芳 |
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| 作者单位： | 1.武汉大学动力与机械学院, 湖北 武汉, 430072 |
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| 基金项目： | 国家自然科学基金41376109国家自然科学基金41576107国家自然科学基金41176068辽宁省海域和海岛使用动态监视科研项目LNZC20170900260 |
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| 摘 要： | 针对传统潮流分析方法在感潮河段实施走航数据潮流分离中的不足，提出了一种基于梯度训练法的径向基函数潮流分离方法，解决了传统潮流分析方法时序数据长、潮流分离实施复杂问题；也解决了基于贪婪拟合法的径向基函数潮流分离算法存在的节点位置无法准确确定以及过度拟合导致结果不稳定等难题；根据潮流分离结果重构流场，在徐六泾走航断面实验中取得了优于0.25 m/s的外推精度。
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| 关 键 词： | 潮流分离 感潮河段 走航ADCP数据 径向基函数 梯度训练法 |
| 收稿时间： | 2015-11-21 |
An Improved Tidal Current Separation Method of Radial Basis Function Using Gradient Training |
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| Institution: | 1.School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China2.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
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| Abstract: | Ship-mounted acoustic Doppler current profiler (ADCP) measurements have been used to obtain detailed observations of the spatial patterns of flows. To separate tidal and subtidal currents from the ship-mounted ADCP data at tidal reach, traditional harmonic analysis method require redundant measurements, and complex tidal current separation operations. Developments in radial basis function (RBF) interpolation theory are demonstrated to significantly improve the quality of the tidal velocity field extracted from the measurements. Tidal current separation method of RBF using greedy fit couldn't optimal centers for RBF, and the over-fitting of RBF would lead to the instability of separation model. To overcome these deficiencies, this paper proposes an improved tidal current separation method of radial basis function using gradient training. The tidal current separation results in Xuliujing section verified the feasibility of the tidal current separation method of gradient training RBF. The inner precision of reconstructed flow field based on the tidal current separation method using gradient training is better than 0.21 m/s, and the prediction accuracy is better than 0.25 m/s. |
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