摘要
由于激烈的市场竞争，企业必须建立完善的设计决策支持系统，针对这种需求，本文提出了一种解决机械零件在概念设计阶段的制造成本预估问题的系统方法。在数据库的支持下，首先建立合适的神经网络模型，用已有数据对其进行训练直至其收敛，从而可以进行预估计算。
For the vehement competition in the market,all kinds of manufacturers must found ripe design-supported system.According this demand,we introduce a method for forecasting the cost of mechanical parts during the first phase of normal design.On the base of correlative data-base, we found suitable NN model and train it with known data.When it was constringed, the forecast can be performed
出处
《计算机辅助工程》
2000年第2期12-17,共6页
Computer Aided Engineering
