The rapidly solidified aging copper alloy by BP neural network

BP neural network prediction of the mech

BP neural network prediction of the mechanical properties of porous NiTi shape memory alloy prepared by thermal explosion reaction

✍ Qiang Li; Jing-Yuan Yu; Bai-Chun Mu; Xu-Dong Sun 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 175 KB

BP neural network model was developed for prediction of the mechanical properties of porous NiTi shape memory alloy (SMA) prepared by thermal explosion. In this paper, the model can well reflect the relationship between the process parameters including heating rate (v), green density (D) and particl