A modular CNN protocol identifies minimal loading history modules for basic hysteresis, degradation, and pinching, then trains three separate networks to estimate Bouc-Wen parameters rapidly from those modules.
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Deep learning-based modularized loading protocol for parameter estimation of Bouc-Wen class models
A modular CNN protocol identifies minimal loading history modules for basic hysteresis, degradation, and pinching, then trains three separate networks to estimate Bouc-Wen parameters rapidly from those modules.