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首页> 外文会议>HTD-vol.376-2; ASME(American Society of Mechanical Engineers) International Mechanical Engineering Congress and Exposition; 20051105-11; Orlando,FL(US) >MODELING THE RESPONSE OF A TRANSIENT THERMAL SYSTEM USING GAUSSIAN PROCESSES
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MODELING THE RESPONSE OF A TRANSIENT THERMAL SYSTEM USING GAUSSIAN PROCESSES

机译：使用高斯过程建模瞬态热系统的响应。

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Estimating sensitivities and the uncertainties associated with variable parameters can be prohibitively expensive for complex systems, particularly when sampling techniques, e.g., Monte Carlo, are employed. One approach is to define a response surface based on easy to compute functions using least squares fitting. However, such a surface does not pass through each of the data points and makes it difficult to determine the degree of interaction between the parameters of the system. Parameter interactions can be accurately determined using global sensitivity, but it is computationally expensive. Gaussian Processes can be used to create an inexpensive to evaluate response surface that is an accurate representation of the data. The paper describes the use of Gaussian Processes in conjunction with global sensitivity to examine the behavior of a thermal system, showing that the combination is an effective tool.
机译：对于复杂系统，估计与可变参数相关联的灵敏度和不确定性可能是昂贵的，特别是当采用采样技术，例如蒙特卡洛时。一种方法是使用最小二乘拟合基于易于计算的函数定义响应面。然而，这样的表面没有穿过每个数据点，并且使得难以确定系统的参数之间的相互作用程度。可以使用全局灵敏度来准确确定参数交互，但计算量大。高斯过程可用于创建廉价的评估响应面，即数据的准确表示。本文描述了结合高斯过程和整体敏感性来检查热系统的行为，表明该组合是一种有效的工具。

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