Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on measured impact load data

This data is the Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on impact load measurement data. The experimental data comes from the impact load test on the reinforced plate. The specific operation is as follows: six fixed position sensors are set at the bottom of the reinforced plate, and symmetry is avoided between each position. During the experiment, a force hammer is used to strike the top of the reinforced plate. The data collector is responsible for collecting the load curve of the force hammer and the response data collected by the six sensors. The reinforced plate is divided into small areas and each small area is calibrated and used as a training sample. Then, 36 sets of tests are conducted, and each set of tests uses four algorithms to invert the response data and obtain the load curve. The file includes 36 sets of inversion data, each set containing 9 columns of data. The first column is the timeline, and every two columns are the real load data and the corresponding method inversion load data. The order of the corresponding methods is Tikhonov-GCV, RNN, LSTM, and Bi LSTM.