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Case-Based Reasoning for Estuarine Model Design

机译:河口模型设计的案例推理

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Estuaries are complex natural water systems. Their behaviour depend on many factors, which are possible to analyse only by adopting different study approaches. The physical processes within estuaries, such as floods and pollutant dispersion, are generally investigated through computer modelling. In this paper the application of case-based reasoning technology to support the design of estuarine models is described. The system aims to provide a nonexpert user in modelling with the necessary guidance for selecting a model that matches his goal and the nature of the problem to be solved. The system is based on three components: a case-based reasoning scheme, a genetic algorithm and a library of numerical estuarine models. An example based on the Upper Milford Haven estuary (UK) is used to demonstrate the efficacy of the system's structure for supporting estuarine model design.
机译:河口是复杂的天然水系统。他们的行为取决于许多因素,只能通过采用不同的研究方法来分析。通常通过计算机建模研究河口中的物理过程,例如洪水和污染物分散。本文描述了基于案例的推理技术来支持河口模型设计的应用。该系统旨在提供一个非强调用户,以利用所需指导来选择与他的目标匹配的模型以及要解决的问题的性质。该系统基于三个组分:基于案例的推理方案,遗传算法和数值偏毒素模型库。基于上部米尔福德避风港河口(英国)的一个例子用于展示系统结构支持河口模型设计的效果。

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