论文部分内容阅读
在归纳总结压铸合金选择经验和知识的基础上 ,对压铸合金性能进行评价。采用BP神经网络方法建立了快捷的压铸合金材料选择系统 ,提出了一种将模糊化性能要求量化 ,增加训练样本集的方法。
On the basis of summarizing the experience and knowledge of die-casting alloy selection, the properties of die-casting alloy were evaluated. A fast die casting alloy material selection system was established by using BP neural network method. A method was proposed to quantify the fuzzification performance requirements and increase the training sample set.