摘要
基于人工神经网络的BP算法对机械零件制造成本进行了系统构造和预估算法的探索。此系统可以在概念设计阶段对零件的制造成本进行估算,为设计人员在进行产品设计时提供一种有力的工具。
In this paper, a system for forecasting the cost of mechanical parts during the phase or normal de-sign based on ANN is put forward. This system can forecast the manufacture cost of mechanical parts in the first phase of normal design. Accordingly, it offers an available tool for the designer.
出处
《机电一体化》
2004年第3期53-55,共3页
Mechatronics
