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Learning Nonlinear Constitutive Laws Using Neural Network Models Based on Indirectly Measurable Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Artificial neural network (ANN) models are used to learn the nonlinear constitutive laws based on indirectly measurable data. The real input and output of the ANN model are derived from indirect data using a mechanical ...