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A neural network approach to elevated temperature creep–fatigue life prediction

International Journal of Fatigue, 1999
Abstract A new approach using a back-propagation neural network for life prediction was developed and demonstrated for predicting the elevated temperature (0.7–0.8 Tm) creep–fatigue behavior of Ni-base alloy INCONEL 690. The neural network was trained with five extrinsic parameters, characterized via a 25–1 fractional factorial design methodology ...
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