Work

Stability analysis for μ -p.a.a. solutions of MAM neural network with neuron gains

Year: 2024

Type: article

Abstract: The work considers the μ -p.a.a. (measure-pseudo almost automorphic) solutions of MAM neural network with neuron gains. By using the properties of μ -p.a.a. functions, inequality technique and Banach contraction mapping principle, some sufficient conditions are obtained to ensure the existence and the global exponential stability of a unique μ -p.a.a. solution of MAM neural network with neuron gains. Moreover, some numerical examples are given to illustrate our main results.

Source: Alexandria Engineering Journal

DOI: 10.1016/j.aej.2024.10.106

Authors: Feng-Xia Zheng, Ni Zeng, Chuan-Yun Gu

Institutions: Xihua University, Sichuan University of Arts and Science

Language: English

Topic: Neural Networks Stability and Synchronization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,300

Funders: Natural Science Foundation of Xinjiang Province, Xihua University, Natural Science Foundation of Sichuan Province, Sichuan Province Science and Technology Support Program