Extreme Event Analysis
Extreme Event Analysis
复制标题
极端事件分析
DOI：
10.1007/0-8176-4459-8_9
复制
发表时间：
1985
影响因子：
2.5
通讯作者：
R. L. Heathcote
中科院分区：
文献类型：
--
作者：
R. L. Heathcote
在本章中，我们将讨论如何选择一个模型来描述海浪极端事件的概率分布，以及如何使模型适合数据结构。我们还讨论了模型的后果，如评估年收益率水平。此外，我们检查是否通过人工神经网络（ANN）重建得到的时间序列具有相同的极端事件的概率分布作为原始的。我们进一步讨论了一个特殊的人工神经网络方法的定义，致力于重建单个选定的极端或大事件。
In this chapter we discuss how we selected a model for describing the probability distribution of the extreme events of sea waves and how the model has been made to suit the structure of the data. We also discuss the model’s consequences, such as the evaluation of anm-year return level. Also, we check whether the time series obtained by means of artificial neural network (ANN) reconstruction has the same extreme events probability distribution as the original one. We further discuss the definition of a special ANN method dedicated to the reconstruction of single selected extreme or large events.