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DOI:
Journal of Software:1994.5(3):1-11

PLN网络的改进及其应用
张钹,张铃
(清华大学计算机科学与技术系 北京; 100084;清华大学计算机科学与技术系 北京; 100084;浙江大学计算机系,杭州 310027)
THE IMPROVEMENT OF PLN NETWORK AND ITS APPLICATIONS
Zhang Bo,Zhang Ling
()
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Received:November 07, 1993    Revised:December 22, 1993
> 中文摘要: 本文在分析概率逻辑神经元(PLN)网络原型存在不足的基础上,提出PLN元件的一个改进模型,并指出原来的PLN网络模型、Hopfield学习律以及Boltzman机的演化律等都是PLN网络改进模型的特例.文中还给出PLN网络改进模型在联想记忆应用中的模拟实验结果,说明改进模型无论在鲁棒性和收敛速度上比原型都有很大改进.
Abstract: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.
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基金项目:国家攀登计划,863高技术研究与发展计划 国家攀登计划,863高技术研究与发展计划
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张钹,张铃.PLN网络的改进及其应用.软件学报,1994,5(3):1-11

Zhang Bo,Zhang Ling.THE IMPROVEMENT OF PLN NETWORK AND ITS APPLICATIONS.Journal of Software,1994,5(3):1-11