Abstract

This paper discusses the possibility of utilizing neural networks in active vibration control of structures by numerical simulation. The vibration responses of the structure induced by wind force and seismic force are simulated using the multi-degrees-of-freedom beam model. The feedback loop of the vibration control system provides a neural network which has acquired the structural vibration characteristics through learning. We focused on the capability of the neural networks in obtaining vibration characteristics during the learning process, and discuss their possibilities as regards vibration control systems.

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