Mean wave overtopping discharge is generally accepted to be a primary design criterion for assessing the performance of coastal structures. It is a boundary condition for many coastal flood risk assessments. Modern methods for assessing wave overtopping discharges and their consequences are well documented and reported. Among the various tools available for assessing wave overtopping, the use of artificial neural networks has become increasingly popular. This paper introduces the next stage in the development of these models. Using the same source data, the new generic meta-modelling overtopping model reduces uncertainties and gives clear guidance on the range and validity of the outputs.

中文翻译：

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包含不确定性的通用且实用的波浪越过模型

平均浪潮溢流通常被认为是评估沿海结构性能的主要设计标准。这是许多沿海洪水风险评估的边界条件。评估波浪过顶流量及其后果的现代方法已得到充分记录和报道。在可用于评估波超顶的各种工具中，人工神经网络的使用已变得越来越流行。本文介绍了这些模型开发的下一阶段。使用相同的源数据，新的通用元建模叠加模型减少了不确定性，并为输出的范围和有效性提供了明确的指导。