【摘要】 为了满足特定领域对组件特性的特殊要求,提出了一种基于神经网络的组件质量度量算法．该算法采用了定量度量的方法,为不同特性赋予不同权重,取代了传统度量过程中对组件特性的定性评价方法,增强了组件度量的准确性．该算法通过机器学习的方法增强了自己的度量能力．更多还原

【Abstract】 In order to satisfy the certain field’s special request for component’s specialities, the authors described an algorithm based on Neural Networks by giving each speciality a metrics weight. Instead of inden-tification metrics in the traditional process, this algorithms is based on quantitative metrics. So the precision of component metrics is improved. The algorithms can update itself by machine learning.更多还原