All solutions of a class of difference equations are truncated periodic

被引:26
作者
Chen, YM [1 ]
机构
[1] Wilfrid Laurier Univ, Dept Math, Waterloo, ON N2L 3C5, Canada
关键词
difference equation; neural network; truncated periodic solution; MuCulloch-Pitts nonlinearity;
D O I
10.1016/S0893-9659(02)00072-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We propose the difference equation (x)n+1 = x(n) - f(x(n-k)) as a model for a single neuron with no internal decay, where f satisfies the McCulloch-Pitts nonlinearity. It is shown that every solution is truncated periodic with the minimal period 2(2l + 1) for some l greater than or equal to 0 such that (k - l)/(2l + 1) is a nonnegative even integer. The potential application of our results to neural networks is obvious. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:975 / 979
页数:5
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