A hybrid genetic algorithm—extreme learning machine approach for accurate significant wave height reconstruction
A hybrid genetic algorithm—extreme learning machine approach for accurate significant wave height reconstruction
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DOI：
10.1016/j.ocemod.2015.06.010
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发表时间：
2015-08
期刊：
影响因子：
3.2
通讯作者：
E. Alexandre;L. Cuadra;J. Nieto-Borge;G. Candil-García;M. D. Pino;S. Salcedo-Sanz
中科院分区：
文献类型：
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作者：
E. Alexandre;L. Cuadra;J. Nieto-Borge;G. Candil-García;M. D. Pino;S. Salcedo-Sanz
由浮标测量的时间序列计算的波浪参数(有效波高H S、平均波周期等)在海岸工程和波能转换器的设计和运行中发挥关键作用。暴风雨或航行事故可能会使测量浮标崩溃，导致数据缺失。本文根据相邻浮标位置值之间的空间相关性，利用附近浮标的波浪参数，解决了在非工作浮标上局部重建H S的问题。我们方法的新颖性在于它可能应用于海岸工程中的问题，这是双重的。一方面，我们提出了一种与极端学习机混合的遗传算法，它从附近浮标的可用波参数中选择具有n个SP参数的子集F n S P，以最小化H S重建误差。另一方面，我们评估了在子集F n S P中选择的参数在多大程度上足够好地辅助其他机器学习回归因素(极端学习机、支持向量机和高斯过程回归)来重建H S，结果表明，在所研究的两个不同地点(加勒比海和西大西洋)，所有的机器学习方法都达到了良好的H S重建效果。
Wave parameters computed from time series measured by buoys (significant wave height H s, mean wave period, etc.) play a key role in coastal engineering and in the design and operation of wave energy converters. Storms or navigation accidents can make measuring buoys break down, leading to missing data gaps. In this paper we tackle the problem of locally reconstructing H s at out-of-operation buoys by using wave parameters from nearby buoys, based on the spatial correlation among values at neighboring buoy locations. The novelty of our approach for its potential application to problems in coastal engineering is twofold. On one hand, we propose a genetic algorithm hybridized with an extreme learning machine that selects, among the available wave parameters from the nearby buoys, a subset F n S P with n SP parameters that minimizes the H s reconstruction error. On the other hand, we evaluate to what extent the selected parameters in subset F n S P are good enough in assisting other machine learning (ML) regressors (extreme learning machines, support vector machines and gaussian process regression) to reconstruct H s. The results show that all the ML method explored achieve a good H s reconstruction in the two different locations studied (Caribbean Sea and West Atlantic).