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叙述“反向传播”神经网络的结构、算法及其在含Ｆ铋系高温超导体制备中的应用．实验结果表明神经网络的判别正确率为１００％．因此，该方法可用于材料设计等高层次知识处理领域．
Structure, Algorithm and Application of “Backpropagation” Neural Network in Fabrication of F - Bi - Containing High Temperature Superconductor. Experimental results show that the discrimination accuracy of neural network is 100%. Therefore, this method can be used in high-level knowledge processing such as material design.