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Nonlinear System Identification With Gaussian Processes Using Laguerre and Kautz Filters1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: System identification can be used to determine data-driven mathematical models of dynamic processes. For nonlinear processes, model architectures that are as flexible as possible are required. One possibility is to utilize ...
Development, Validation, and Application of an Optimization Scheme for Impellers of Centrifugal Fans Using Computational Fluid Dynamics-Trained Metamodels
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A quick method for the design of efficiency-optimal centrifugal fan impellers is presented. It is based on an evolutionary optimization algorithm that identifies the optimal geometrical parameters for a given aerodynamic ...
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