【摘要】 总结了注塑件常见的缺陷征兆———原因表 ,应用人工神经网络技术对注塑件缺陷进行了正向诊断 ,描述了BP神经网络的建模过程 ,最后应用C语言 ,编制了智能诊断的实现软件更多还原

【Abstract】 The bug symptoms reason table of injection parts is concluded. Using artificial neural network does the forward diagnosis to injection parts bugs. A model of BP neural network is constructed. At last, the software of intelligence diagnosis is compiled by C language.更多还原