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一类二元时滞神经网络模型解的定性研究
引用本文:郭美珍,卢金平.一类二元时滞神经网络模型解的定性研究[J].昆明理工大学学报(理工版),2009,34(1):43-47.
作者姓名:郭美珍  卢金平
作者单位:1. 湖南科技学院计算机系,湖南,永州,425100
2. 湖南大学数学与计量经济学院,湖南,长沙,410082
基金项目:国家重点基础研究发展规划(973计划),湖南省教育厅一般资助项目 
摘    要:对一类具有自反馈信号的二元时滞神经网络模型的解进行定性研究,针对网络参数的不同取值,分步地求解一个在一定初始函数空间中给定初始值的泛函微分方程组,再讨论模型解的收敛性.我们的分析表明网络参数在神经网络模型研究中具有极其重要的作用.

关 键 词:神经网络  时滞  收敛性  阈值

Qualitative Analysis of Solutions to a Class of Two-Neuron Network
GUO Mei-zhen,LU Jin-ping.Qualitative Analysis of Solutions to a Class of Two-Neuron Network[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2009,34(1):43-47.
Authors:GUO Mei-zhen  LU Jin-ping
Affiliation:1.Department of Computer Science;Hunan University of Science and Engineering;Yongzhou;Hunan 425100;China;2.College of Mathematics and Econometrics;Hunan University;Changsha 410082;China
Abstract:Qualitative analysis is made on solutions to a class of two-neuron network model with delayed self-feedback signal.Referring to some different values of the network parameters,the step method is adopted to solve functional differential equations with a given initial value in a certain initial function space.The convergence of the solutions to the model is then studied.It is shown through the analysis that the network parameters play vital roles in the research of the neural network model.
Keywords:neural network  delay  convergence  threshold  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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