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In this report, the feasibility of predicting mechanical properties using magnetic parameters measurements and artificial neural network (ANN) will be presented. The yield and ultimate tensile strength are predicted by means of two back-propagation neural networks on the basis of hysteresis loop parameter measurements and sample thickness. Inductive(More)
In this paper, a novel method for predicting mechanical properties of cold- rolled low carbon steel based on magnetic parameter measurement using Adaptive Neuro Fuzzy Inference System (ANFIS) is presented. The Yield Stress (YS) and Ultimate Tensile Strength (UTS) are predicted using two ANFIS models on the basis of B-H curve parameter measurement. B-H curve(More)
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