Fig. 3

a Parameter training result. As mean squared error decreases, the \(\text {R}^{2}\) value of the fitting between latent variable and annealing time increases. Maximum \(\text {R}^{2}\) value of 0.99956 is acquired at epoch 6318, from which subsequent reconstruction training has been followed. Mean squared error less than 0.005 is considered valid. b Simulated parameters after the initial parameter training, with selection of maximum \(\text {R}^{2}\) value. Five parameters are simulated based on the labels at four different times: 5, 15, 60, and 150 min