KaydedilenlerDerginizi ekleyin

Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2001 / Cilt: 1 - Sayı: 2

Convergence of nonsymmetric discrete-time cellular neural networks

Sabri ARIK
Sayfa
223–225
Yayın Tarihi
2022-10-18
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In this paper, a sufficient condition is presented for the convergence of nonsymmetric dicret-time cellular neural networks DTCNNs, which generalises the previous convergence results dericed in the literature on the complete stability of DTCNNs.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:In this paper, a sufficient condition is presented for the convergence of nonsymmetric dicret-time cellular neural networks DTCNNs, which generalises the previous convergence results dericed in the literature on the complete stability of DTCNNs.
📊
Temel Bulgular & Veri:In this paper, a sufficient condition is presented for the convergence of nonsymmetric dicret-time cellular neural networks DTCNNs, which generalises the previous convergence results dericed in the literature on the complete stability of DTCNNs.
💡
Sonuç & Katkı:In this paper, a sufficient condition is presented for the convergence of nonsymmetric dicret-time cellular neural networks DTCNNs, which generalises the previous convergence results dericed in the literature on the complete stability of DTCNNs.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this paper, a sufficient condition is presented for the convergence of nonsymmetric dicret-time cellular neural networks DTCNNs, which generalises the previous convergence results dericed in the literature on the complete stability of DTCNNs.

🔖

Bu Makaleye Atıf Yap

ARIK, S. (2022). Convergence of nonsymmetric discrete-time cellular neural networks. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 1 - Sayı: 2, 223–225. https://ajindex.com/articles/543970

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (5)

  1. BHAYA, A., KASZKUREWICH, E. And KOZYAJIN, V.S., “Existence and stability of a unique equilibrium in continuousvalued discrete-time asynchronous Hpfield neural networks.” IEEE Trans, Neural Networks, vol 7, pp. 620-628, May 1996
  2. LIU, D, and MICHEL, A.N., “Stability analysis of systems with partial stare saturation nonlienearities,” IEEE Trans, Circuits and System, CAS-1, vol 43 no.3, pp. 230-232, March 1996
  3. HARRER, H., NOSSEK, J. A. and SYELZL, R., “An analog implementation of discrete-time cellular neural networks,” IEEE Trans, Neural Networks, vol 3, pp. 466-476, May 1992
  4. HARRER, H., NOSSEK, J. A. and ZOU F., “An learning algorithm for discrete-time cellular neural networks,” in Proc. IJCNN’91, November,1991, pp. 717-722
  5. FRUEHAUF, N., CHUQ, L. O. and LUEDER, E., “Convergence of reciprocal discrete-time cellular neural networks with continuous nonlinearities,” in Proc IEEE International Workshop on Cellular Neural Networks and their Applications, October 1992, pp. 106-111 6. PERFETTI, R., “On convergence of reciprocal discrete-time cellular neural networks.” IEEE Trans. Circuits and Systems, CAS-1 vol. 40, no.40, pp. 286.287, April 1993