Neural network processing
Neural network processing
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To model the work material response to different process conditions, 3-layered feed-forward back-propagation NN were trained and tested
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The inputs to the NN were chosen to be the parameters that define the physical meaning of the process
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Strain, strain-rate and temperature values for each experimental curve were always utilised as input features
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Also strain and strain-rate as logarithmic functions, ln(ε) and ln(ε'), temperature as inverse function, 1/T, and curve peak strain, εp, were employed as input features
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This allowed to take into account the analytical relationships among the considered process parameters and the influence of curve peak strain on the material behaviour modelling
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