针对神经网络在潜在通路分析应用中的缺陷,提出了二进制神经网络集成(BNNE)算法。
To overcome the shortcomings of the sneak circuit analysis (SCA) based on BPNN, a binary neural network ensemble (BNNE) algorithm for the sneak circuit analysis (SCA) is proposed.
潜在通路分析技术是提高控制系统安全性与可靠性的一项重要的分析工具,目前被广泛用于航天控制系统安全性与可靠性的分析。
Sneak analysis technique is an important analytical tool in promoting the safety and the reliability of the control system. It is widely used in the aerospace engineering.
应用推荐