Prediction of composition-strength of as-cast high entropy alloys using artificial neural network

Parameters of composition (type and content of elements) and strength (fracture strength under compress load) of as-cast high entropy alloy were obtained from literatures; their relationship network model was built by BP artificial neural network. The results show that the model reflects the relationships precisely and has a relative high accuracy. The model can be used to predict the strength of as-cast high entropy alloy. Meanwhile, it can also serve as a guide for the design of high entropy alloy.