Model quality evaluation from finite data sets

有限数据集的模型质量评估

• 批准号: DP0558579
• 负责人: Prof Erik Weyer
• 金额: $ 16.83万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0558579
• 关键词: Model; quality; evaluation; finite; data

Models of dynamical systems are used in many areas of science and engineering. There will always be uncertainties associated with a model, and in this project we will develop a tool for assessing this uncertainty. Having a good description of the uncertainty will depending on the application, lead to better designs, more efficient operations, better decision making etc. One particular application area of this research is to quantify the uncertainties in models of irrigation channels. This will allow us to design better systems for regulation of water levels and flows, leading to large water savings and significant environmental benefits.

动力系统的模型被用于科学和工程的许多领域。模型总是存在不确定性，在本项目中，我们将开发一种评估这种不确定性的工具。有一个很好的描述的不确定性将取决于应用程序，导致更好的设计，更有效的操作，更好的决策等本研究的一个特定的应用领域是量化模型的不确定性灌溉渠道。这将使我们能够设计更好的水位和流量调节系统，从而节省大量水资源并带来显著的环境效益。