GRN和ANN网络中的周期吸引子

2022 6th European Conference on Electrical Engineering & Computer Science (ELECS) Pub Date : 2022-12-01 DOI:10.1109/ELECS55825.2022.00036

Ogorelova Diana, Sadyrbaev Felix

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引用次数: 0

摘要

本文给出了遗传和人工神经网络理论中出现的二维常微分方程组周期解存在的条件。这个证明是基于Poincare-Andronov-Hopf分岔的。多维吸引子可以用二维吸引子构造。提供了插图和示例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Periodic attractors in GRN and ANN networks

We provide the conditions for the existence of a periodic solution in two-dimensional systems of ordinary differential equations, which arise in the theory of genetic and artificial neural networks. The proof is based on Poincare-Andronov-Hopf bifurcation. Multidimensional attractors can be constructed using the two-dimensional ones. Illustrations and examples are provided.

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2022 6th European Conference on Electrical Engineering & Computer Science (ELECS)

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