【摘要】 建立了预测铀钛合金在不同氮气氛和不同相对湿度下贮存后力学性能变化的人工神经网络模型 .并用两组已知数据对人工神经网络的预测效果进行了验证更多还原

【Abstract】 An approach of artificial neural network(ANN) was applied to the study of the mechanical properties of U\|0.75%Ti alloy after the alloy stored in nitrogen atmosphere with various RH%. Good results were obtained for both of learning and the predicting performance. Using ANN to predict the mechanical properties of U\|Ti alloy in nitrogen atmosphere after 10 day.更多还原