21 March 2001 Behavior identification of distinct neighborhoods in large structures using neural networks
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Abstract
This paper presents a new method to identify the vibration model for large smart structures. A large structure typically has low frequency vibrations, unique distributed dynamic characteristics, and no simple control model. Study of composite aircraft fuselage vibration suppression required the identification of a distributed parameter control method. Artificial neural networks were used to identify structural vibration characteristics in distinct neighborhoods. Neural networks were trained and compared using a plate model.
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Xiaoyun Fu and James P. Bartlett "Behavior identification of distinct neighborhoods in large structures using neural networks", Proc. SPIE 4235, Smart Structures and Devices, (21 March 2001); doi: 10.1117/12.420865; https://doi.org/10.1117/12.420865
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