New sufficient conditions for absolute stability of neural net works

Xue-Bin Liang; Li-De Wu

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New sufficient conditions for absolute stability of neural net works

机译：神经网络作品绝对稳定性的新充分条件

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摘要

The main result obtained in this paper is that for a neural network with interconnection matrix T, if -T is quasi-diagonally row-sum or column-sum dominant, then the network system is absolutely stable. The above two sufficient conditions forabsolute stability are independent of the existing sufficient ones in the literature. Under either of the above two sufficient conditions for absolute stability, the vector field defined by the network system is also structurally stable.

机译：本文得到的主要结果是，对于具有互连矩阵T的神经网络，如果-T是准对角线行和或列和占主导地位的，则网络系统是绝对稳定的。上述两个绝对稳定性的充分条件与文献中已有的充分条件无关。在上述两个绝对稳定的充分条件中的任何一个下，网络系统定义的向量场在结构上也是稳定的。

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来源
《IEEE Transactions on Automatic Control》 |1998年第5期|584-586|共3页
作者
Xue-Bin Liang; Li-De Wu;
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正文语种英语
中图分类自动化系统;
关键词
Absolute stability; Neural networks; Structural stability;

机译：绝对稳定性;神经网络;结构稳定性;

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New sufficient conditions for absolute stability of neural net works

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