摘要
本文从四个方面综述近年来用于前馈型网络的监督学习方法,即:1.对经典反向传播法的改进和变型;2.用于训练多层感知器的其它学习方法;3.其它前馈型网络模型和监督学习模型;4.具有复杂结构的各种模型.
This paper gives a review on the recent advances on supervised learnieg methods for static feedforward networks, i.e (1) Various improvements and variants made on the classical Back Propagation. (2) A number of other learning methods for training Multilayer Perceptron. (3) Other feedforward models and supervised learning models. (4) Models with complex structures.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1992年第10期106-113,共8页
Acta Electronica Sinica
关键词
前馈型网络
监督学习
神经网络
Feedforward networks, Supenrised learning, Neural networks
