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阐述了利用人工神经网络对机械设计过程中所用图表进行存储及查找的方法。以在锅炉设计中的一例图表为实例，以ＢＰ算法为工具。结果表明，数据的存储及查找完全达到设计要求，具有精度高、灵活性强的优点。
The method of using artificial neural network to store and find the charts used in the process of mechanical design is expounded. Taking a chart in the boiler design as an example, the BP algorithm is used as a tool. The results show that the data storage and search fully meet the design requirements, with the advantages of high precision and flexibility.