摘要
本文提出了一种层次式级联多网络结构,论述了其训练算法,并验证了该结构的收敛性。这种结构在处理高阶非线性分布数据的分类问题方面具有优良的性能,用北京谱仪事例过滤进行性能测试结果表明,其训练和泛化性能都优于单个BP网络。
A layered cascade multi network architecture and learning algorithm have been proposed in this paper. It has been proved that zero classification errors can be reached for any finite, non contradictory training sets in multi category classification tasks. Such architecture is more suitable for those classification tasks having high order non linear distribution. Finally, we tested the network by the two spiral problem and BES data.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
1998年第4期241-244,共4页
Nuclear Electronics & Detection Technology
基金
国家自然科学基金