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Found 2 papers, 1 papers with code
A robust deep learning-based damage identification approach for SHM considering missing data
Data-driven method for Structural Health Monitoring (SHM), that mine the hidden structural performance from the correlations among monitored time series data, has received widely concerns recently.
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning
A universal rule-based self-learning approach using deep reinforcement learning (DRL) is proposed for the first time to solve nonlinear ordinary differential equations and partial differential equations.
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