System Decomposition Method-Based Exponential Stability of Clifford-Valued BAM Delayed Neural Networks-Reference-Cited by-同舟云学术

System Decomposition Method-Based Exponential Stability of Clifford-Valued BAM Delayed Neural Networks

Published:2023 Issue: Volume:11 Page:77324-77335
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sriraman R.¹,Balaji Prasanalakshmi²^ORCID,Veerasivaji R.³

Affiliation:

1. Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, India

2. Department of Computer Science, King Khalid University, Abha, Saudi Arabia

3. Department of Mathematics, Sri Sankara Arts and Science College, Enathur, Kanchipuram, Tamil Nadu, India

Funder

Deanship of Scientific Research, King Khalid University, through Small Group Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10184024.pdf?arnumber=10184024

Reference45 articles.

1. Mathematical study on bifurcation dynamics and control mechanism of tri‐neuron bidirectional associative memory neural networks including delay

2. Weighted pseudo almost automorphic solutions for neutral type fuzzy cellular neural networks with mixed delays and D operator in Clifford algebra

3. Comparative exploration on bifurcation behavior for integer-order and fractional-order delayed BAM neural networks

4. Existence and Global Exponential Stability of Almost Automorphic Solution for Clifford-Valued High-Order Hopfield Neural Networks with Leakage Delays

5. Global exponential stability of BAM neural networks with distributed delays and impulses

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