Multi-source data fusion-based structural strain prediction of long-span arch bridges via CNN-GRU-Attention network
A convolutional neural network (CNN) gated recurrent unit (GRU)-Attention bridge strain prediction model that integrates CNN, GRU, and attention mechanisms is proposed, showing a better fit between its predicted curves and the actual strain curves.