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A review on the integration of artificial intelligence into coastal modeling

机译：人工智能在海岸建模中的整合研究

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With the development of computing technology, mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are inevitably highly specialized, involving certain assumptions and/or limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying theories. This results in significant constraints on their manipulation as well as large gaps in understanding and expectations between the developers and practitioners of a model. The recent advancements in artificial intelligence (AI) technologies are making it possible to integrate machine learning capabilities into numerical modeling systems in order to bridge the gaps and lessen the demands on human experts. The objective of this paper is to review the state-of-the-art in the integration of different AI technologies into coastal modeling. The algorithms and methods studied include knowledge-based systems, genetic algorithms, artificial neural networks, and fuzzy inference systems. More focus is given to knowledge-based systems, which have apparent advantages over the others in allowing more transparent transfers of knowledge in the use of models and in furnishing the intelligent manipulation of calibration parameters. Of course, the other AI methods also have their individual contributions towards accurate and reliable predictions of coastal processes. The integrated model might be very powerful, since the advantages of each technique can be combined. (c) 2005 Elsevier Ltd. All rights reserved.
机译：随着计算技术的发展，通常采用机械模型来模拟沿海环境中的过程。但是，这些预测工具不可避免地具有高度的专业性，涉及某些假设和/或限制，并且只能由对底层理论有透彻了解的经验丰富的工程师来操纵。这导致对它们的操纵有很大的限制，并且在模型的开发人员和实践人员之间在理解和期望方面存在巨大差距。人工智能（AI）技术的最新发展使得将机器学习功能集成到数值建模系统中成为可能，以弥合差距并减少对人类专家的需求。本文的目的是回顾将不同的AI技术集成到海岸建模中的最新技术。研究的算法和方法包括基于知识的系统，遗传算法，人工神经网络和模糊推理系统。基于知识的系统给予了更多的关注，基于知识的系统在允许使用模型进行更透明的知识传递以及提供对校准参数的智能操作方面具有明显的优势。当然，其他AI方法也可以对沿海过程的准确和可靠预测做出自己的贡献。集成的模型可能非常强大，因为可以将每种技术的优点结合起来。 （c）2005 Elsevier Ltd.保留所有权利。

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