摘要
本文研究了一种新的重点强化联想记忆人工神经网络模型,大量计算机模拟结果表明,该模型的特性优于Hopfield网络,当强化系数P较大时,也优于Y.C.Lee高阶关联网络,而其硬件实现较后者容易得多。
In this paper, we study a new model of neural network with importance emphasizing for associative memory. It shows by a great number of computer modelling results that the network is much better than Hopfield's. It can also be better than Y.C. Lee's higher order correlation network if with a larger emphasizing parameter P.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1992年第1期89-91,共3页
Acta Electronica Sinica
关键词
神经网络
联想记忆
人工智能
模型
Neural network, High order correletion, Associative memory
