Chaotic dynamics of time-delay neural networks

Jose C. Principe*, Pei-Chen Lo

*Corresponding author for this work

研究成果: Paper同行評審

1 引文 斯高帕斯(Scopus)

摘要

A study is made of the nonlinear dynamical properties of a class of recurrent artificial neural networks with time delay that have been proposed in the literature to learn and recognize time-varying input patterns. Their nonlinear dynamics are studied to see if they have the potential to model nonlinear dynamical behavior of biological field potentials such as the electroencephalogram (EEG). It is shown that changing the value of the weights in a periodic fashion causes the output of time-delay neural networks to show a correlation dimension in the EEG range.

原文English
頁面403-409
頁數7
出版狀態Published - 1 十二月 1990
事件1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA
持續時間: 17 六月 199021 六月 1990

Conference

Conference1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
城市San Diego, CA, USA
期間17/06/9021/06/90

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