现代电子技术2012，Vol.35Issue(22)：177-179,3.
用于电磁兼容预测的函数链神经网络
Functional link neural network applied to electromagnetic compatibility prediction
摘要
Abstract
Traditional prediction methods for electromagnetic compatibility of BP neural networks suffer from the local convergence. Therefore, a fuzzy measure based functional link neural network is proposed in this paper. This network extend the initial weight to a higher dimension. While achieving the multi-layer perception function of traditional BP network, the compute process is a single layer operation only. The proposed network can get faster convergence rate and avoid the convergence to a local minimum. The experiment result shows that the functional link neural network based on fuzzy measure can predict the electromagnetic compatibility more accurately.关键词
模糊测度/函数链神经网络/局部收敛/电磁兼容预测Key words
fuzzy measure/functional link neural network/local convergence/electromagnetic compatibility predictionq分类
信息技术与安全科学引用本文复制引用
沈文,邓辉,吕少影..用于电磁兼容预测的函数链神经网络[J].现代电子技术,2012,35(22):177-179,3.基金项目
国家"863"计划项目:智能配用电信息及通信支撑技术研究与开发(2011AA05A116) （2011AA05A116）
