%0 Journal Article
%T THE IMPROVEMENT OF PLN NETWORK AND ITS APPLICATIONS<br>PLN网络的改进及其应用
%A Zhang Bo
%A Zhang Ling
%A <br>张钹
%A 张铃
%J 软件学报
%D 1994
%I 
%X In light of the deficiency of the original model of Probabilistic Logic Neuron (PLN)network, this paper presents a revised model and shows that its robustness and speed are improved. The authors also indicate that the original model of PLN network,the Hopfield's learning rule and the evolution rule of Boltzman machine are special cases of the new model. Finally, the application of the generalized PLN network to associative memory is given. The computer simulation results show that robustness and convergence speed of the new model are much better than the original one.
%K Probabilistic Logic Neuron (PLN) network
%K A-learning rule
%K generalized A -learning rule
%K associative memory<br>概率逻辑神经元（PLN）网络，A—学习律，广义A—学习律，联想记忆
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=EFC244B6FED5781A646AA4F61C7F14CB&yid=3EBE383EEA0A6494&vid=94C357A881DFC066&iid=38B194292C032A66&sid=CA4FD0336C81A37A&eid=708DD6B15D2464E8&journal_id=1000-9825&journal_name=软件学报&referenced_num=1&reference_num=4