Multistability Analysis of Quaternion-Valued Neural Networks With Time Delays.
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Multistability Analysis of Quaternion-Valued Neural Networks With Time Delays.

Song, Qiankun;Chen, Xiaofeng;
IEEE Transactions on Neural Networks and Learning Systems 2018 Vol. 29 pp. 5430-5440
234
song2018multistabilityieee

Abstract

This paper addresses the multistability issue for quaternion-valued neural networks (QVNNs) with time delays. By using the inequality technique, sufficient conditions are proposed for the boundedness and the global attractivity of delayed QVNNs. Based on the geometrical properties of the activation functions, several criteria are obtained to ensure the existence of equilibrium points, of which are locally stable. Two numerical examples are provided to illustrate the effectiveness of the obtained results.

Keywords

hormonal contraception homosexual behavior attractivity chlormadinone acetate consortship heterosexual behavior japanese macaque proceptivity putative fertile period

Access

DOI:
10.1109/TNNLS.2018.2801297

Citation

ID: 90819
Ref Key: song2018multistabilityieee
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
90819
Unique Identifier:
10.1109/TNNLS.2018.2801297
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store