Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2019

22.05.2018

Weighted Pseudo Almost Periodic Solutions for Cellular Neural Networks with Multi-proportional Delays

verfasst von: Guangyi Yang, Wepin Wan

Erschienen in: Neural Processing Letters | Ausgabe 3/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper is concerned with the dynamics of weighted pseudo almost periodic cellular neural networks with multi-proportional delays. Applying fixed point theorem and differential inequality techniques, several sufficient conditions are derived to ensure the existence and exponential stability of weighted pseudo almost periodic solutions for the addressed model, which are more general and complicated than periodic and pseudo almost periodic results in some existing literatures. Moreover, an example with graphical illustration is given to demonstrate the effectiveness of the theoretical results.
Vorheriger Artikel Body Part-Based Person Re-identification Integrating Semantic Attributes
Nächster Artikel Neural Block Control via Integrator Backstepping for a Robotic Arm in Real-Time

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
2.
Jiang H, Li Z, Teng Z (2003) Boundedness and stability for nonautonomous cellular neural networks with delay. Phys Lett A 306:313–325MathSciNetCrossRefMATH
3.
Gupta P, Majee N, Roy A (2009) Stability and Hopf-Bifurcation analysis of delayed BAM neural network under dynamic thresholds. Nonlinear Anal Model Control 14:435–461MathSciNetMATH
4.
Lu W, Chen T (2004) Synchronization of coupled connected neural networks with delays. IEEE Trans Circuits Syst I(51):2491–2503MathSciNetCrossRefMATH
5.
Miller A, Blott B, Hames T (1992) Review of neural network applications in medical imaging and signal processing. Med Biol Eng Comput 30:449–464CrossRef
6.
Rowley H, Baluja S, Kanade T (1998) Neural network-based face detection. IEEE Trans Pattern Anal Mach Intell 20:23–38CrossRef
7.
Zhou J, Chen T, Xiang L (2005) Chaotic Lag synchronization of coupled delayed neural networks and its applications in secure communication. Circuits Syst Signal Process 24:599–613MathSciNetCrossRefMATH
8.
Hoppensteadt F, Izhikevich E (2000) Pattern recognition via synchronization in phaselocked loop neural networks. IEEE Trans Neural Netw 11:734–738CrossRef
9.
10.
Xu Y (2014) New results on almost periodic solutions for CNNs with time-varying leakage delays. Neural Comput Appl 25:1293–1302CrossRef
11.
Zhang H, Shao J (2013) Existence and exponential stability of almost periodic solutions for CNNs with time-varying leakage delays. Neurocomputing 121(9):226–233CrossRef
12.
Liu B, Tunc C (2015) Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments. Neural Comput Appl 26:429–435CrossRef
13.
Liu B (2015) Pseudo almost periodic solutions for neutral type CNNs with continuously distributed leakage delays. Neurocomputing 148:445–454CrossRef
14.
15.
Zhang Y, Zhou L (2012) Exponential stability of a class of cellular neural networks with pantograph delays. Acta Electron Sin 40(6):1159–1163
16.
Hiena LV, Son DT (2015) Finite-time stability of a class of non-autonomous neural networks with heterogeneous proportional delays. Appl Math Comput 251:14–23MathSciNet
17.
Zhou L, Zhang Y (2016) Global exponential periodicity and stability of recurrent recurrent neural networks with multi-proportional delays. ISA Trans 60(1):89–95CrossRef
18.
Zhou L, Zhang Y (2016) Global exponential stability of a class of impulsive recurrent neural networks with proportional delays, via fixed point theory. J Frankl Inst 353(2):561–575MathSciNetCrossRefMATH
19.
Zhou L, Zhao Z (2016) Exponential stability of a class of competitive neural networks with multi-proportional delays. Neural Process Lett 44(3):651–663CrossRef
20.
Zhou L, Liu X (2017) Mean-square exponential input-to-state stability of stochastic recurrent neural networks with multi-proportional delays. Neurocomputing 219(1):396–403CrossRef
21.
Liu B (2016) Global exponential convergence of non-autonomous cellular neural networks with multi-proportional delays. Neurocomputing 191:352–355CrossRef
22.
Liu B (2017) Finite-time stability of a class of CNNs with heterogeneous proportional delays and oscillating leakage coefficients. Neural Process Lett 45:109–119CrossRef
23.
Huang Z (2017) Almost periodic solutions for fuzzy cellular neural networks with multi-proportional delays. Int J Mach Learn Cybern 8:1323–1331CrossRef
24.
Liu B (2017) Finite-time stability of CNNs with neutral proportional delays and time-varying leakage delays. Math Methods Appl Sci 40:167–174MathSciNetCrossRefMATH
25.
Yu Y (2016) Global exponential convergence for a class of neutral functional differential equations with proportional delays. Math Methods Appl Sci 39:4520–4525MathSciNetCrossRefMATH
26.
Yu Y (2016) Global exponential convergence for a class of HCNNs with neutral time-proportional delays. Appl Math Comput 285:1–7MathSciNetMATH
27.
Dovrolis C, Stiliadisd D, Ramanathan P (1999) Proportional differentiated services: delay differentiation and packet scheduling. ACM Sigcomm Comput Commun Rev 29(4):109–120CrossRef
28.
Zhang Y, Zhou L (2012) Exponential stability of a class of cellular neural networks with multi-pantograph delays. Acta Electron Sin 40(6):1159–1163
29.
Al-Islam NS, Alsulami SM, Diagana T (2012) Existence of weighted pseudo anti-periodic solutions to 291 some non-autonomous differential equations. Appl Math Comput 218:6536–6548MathSciNetMATH
30.
31.
32.
Long Z (2016) New results on anti-periodic solutions for SICNNs with oscillating coefficients in leakage terms. Neurocomputing 171(1):503–509CrossRef
33.
Fink AM (1974) Almost periodic differential equations, Lecture notes in mathematics, vol 377. Springer, BerlinCrossRef
34.
Zhou Q, Shao J (2018) Weighted pseudo anti-periodic SICNNs with mixed delays. Neural Comput Appl 29(10):865–872CrossRef
35.
Yu Y (2017) Exponential stability of pseudo almost periodic solutions for cellular neural networks with multi-proportional delays. Neural Process Lett 45:141–151CrossRef
36.
Zhang C (2003) Almost periodic type functions and ergodicity. Kluwer Academic/Science Press, BeijingCrossRefMATH
Metadaten
Titel
Weighted Pseudo Almost Periodic Solutions for Cellular Neural Networks with Multi-proportional Delays
verfasst von
Guangyi Yang
Wepin Wan
Publikationsdatum
22.05.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9851-3

Weitere Artikel der Ausgabe 3/2019

Neural Processing Letters 3/2019 Zur Ausgabe

OriginalPaper

Generalized Discriminant Local Median Preserving Projections (GDLMPP) for Face Recognition

OriginalPaper

Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator

OriginalPaper

: Uncovering Feature-level Similarities for Unsupervised Feature Selection

OriginalPaper

Impact Analysis of the Memristor Failure on Real-Time Control System of Robotic Arm

OriginalPaper

Feature Extraction and Classification of Hand Movements Surface Electromyogram Signals Based on Multi-method Integration

OriginalPaper

Anti-periodic Solutions for Quaternion-Valued High-Order Hopfield Neural Networks with Time-Varying Delays

Neuer Inhalt

    Bildnachweise