ANN model for prediction of the effects
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S.M.K. Hosseini; A. Zarei-Hanzaki; M.J. Yazdan Panah; S. Yue
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Article
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2004
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Elsevier Science
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English
โ 351 KB
The effects of composition and intercritical heat treatment parameters on tensile strength and percentage elongation of Si-Mn TRIP steels were modeled, using a neural network with a feed forward topology and a back propagation algorithm. It was found that a committee of nets models the experimental