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一类二元神经网络模型的收敛性
引用本文:朱惠延,黄立宏,戴斌祥.一类二元神经网络模型的收敛性[J].应用基础与工程科学学报,2003,11(2):113-121.
作者姓名:朱惠延  黄立宏  戴斌祥
作者单位:1. 南华大学数理学院,湖南,衡阳,421001
2. 湖南大学数学与计量经济学院,湖南,长沙,410082
基金项目:ResearchsupportedbyNationalNaturalScienceFoundationofChina(10071016),heDoctorProgramFoundationofChineseMinistryofEducation(20010532002),theKeyProjectofChineseMinistryofEducation(No.[2002]78)andFoundationforUniversityExcellentTeacherbyChineseMinistryofEducation .
摘    要:讨论了一类二元时滞反馈人工神经网络模型.在假设信号传输函数是分段常数非线性的条件下,得到了该模型解的收敛性质。

关 键 词:二元时滞反馈人工神经网络模型  信号传输函数  收敛性  人工智能

Convergence of a Neural Network of Two Neurons
Abstract.Convergence of a Neural Network of Two Neurons[J].Journal of Basic Science and Engineering,2003,11(2):113-121.
Authors:Abstract
Abstract:This paper is concerned with a two-neuron artificial neural network model with delayed feedback. Assuming the signal transmission function is of piecewise constant nonlinearity, some interesting results are obtained for the convergence of solutions of the model.
Keywords:neural network model  delay  convergence
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