Based on the experimental results, constitutive equations and an artificial neural network (ANN) model with a back-propagation learning algorithm were developed for the description and prediction of the hot compressive behavior of 28CrMnMoV steel. Then a comparative evaluation of the constitutive ...
Six ANN models, each corresponding to a nonlinear metric, were trained using the Levenberg–Marquardt backpropagation algorithm and compared with MLR models. Performance was assessed based on the mean squared error (MSE) and correlation coefficients. ANN models outperformed MLR, with DFA and Lyapunov...
The learning algorithm of CPNs is as follows. Herein, for visualization characteristics of category maps, we set the mapping layer to a two-dimensional structure 𝑋×𝑌X×Y unit. We set one dimension of the input and Grossberg layers, although they can take any structures. The numbers of...