Scalable and Invertible PMNN Model for MagnetoRheological Fluid Dampers

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Scalable and Invertible PMNN Model for MagnetoRheological Fluid Dampers

To advance the state of the art of physical-principle-enhanced hybrid artificial neural network (ANN) modeling, network configurations with parallel modules (PMNN) reflecting the structural information of the physical principles have been developed (Cao, 2001). In this paper, the PMNN configuration is applied to develop a scalable and invertible dynamic magneto-rheological (MR) fluid damper mod...

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ژورنال

عنوان ژورنال: Journal of Vibration and Control

سال: 2008

ISSN: 1077-5463,1741-2986

DOI: 10.1177/1077546307083988