Yangyang Wang

NOM-optimized CNN-LSTM model for dynamic response prediction of a nonlinear piezoelectric energy harvester

As the strong nonlinearity and highly complex of piezoelectric energy harvesters (PEH), accurately predicting the dynamic response using mathematical models remains challenging. This study introduces a CNN-LSTM (Convolutional Neural Network, Long Short Term Memory) combined with...