Abstract: In order to realize the knowledge heritage and sharing, the model of mapping relationship between design data and design resource arising from the design process is built by design process of the complex product. Based on the result above, recessive knowledge of the design process can be obtained by the Artificial Neural Networks(ANN). A case of obtaining solid rocket motor design knowledge shows that the approach offers an effective way to improve the quality and efficiency of the design.

Key words: complex product, design process, design knowledge, Artificial Neural Networks(ANN)

摘要：

通过构建复杂产品知识化设计过程模型，建立将设计资源数据转换成设计知识的映射关系，基于人工神经网络获取设计知识的方法，实现设计知识的继承与共享，提高设计的质量和效率，用固体火箭发动机设计经验知识的获取过程验证了该方法的有效性。

关键词: 复杂产品, 设计过程, 设计知识, 人工神经网络

CLC Number: 

• TP399