根据人工神经网络(ANN)的BP(back propagation)算法,建立了快速凝固Cu-Cr-Zr铜合金时效温度和时间与硬度和导电率的神经网络映射模型.预测值与实际情况吻合良好,硬度和导电率最大误差分别为4 1%和1.9%.通过对样本集的学习,建立了快速凝固时效工艺知识库,对预测和控制该工艺性能非常有益.
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