Prof. Sabri Arik

Istanbul University, Turkey

Email: ariks@istanbul.edu.tr

Qualifications

1997  Ph.D., London South Bank University, England

1993  M.Sc., Istanbul Technical University, Turkey

Publications (selected)

1. Arik S, Tavsanoglu V; On the global asymptotic stability of delayed cellular neural networks; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS; Volume: 47 Issue: 4  Pages: 571-574;  APRIL  2000.
2. Arik S; An analysis of global asymptotic stability of delayed cellular neural networks; IEEE TRANSACTIONS ON NEURAL NETWORKS; Volume: 13 Issue: 5  Pages: 1239-1242; SEPTEMBER 2002.
3. Arik S; Stability analysis of delayed neural networks; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS; Volume: 47 ssue: 7 ages: 1089-1092; LY 000.
4. Arik S; An improved global stability result for delayed cellular neural networks; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS; Volume: 49 Issue: 8   Pages: 1211-1214;   AUGUST 2002.
5. Arik S, Tavsanoglu V; Equilibrium analysis of delayed CNN's; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS; Volume: 45   Issue: 2   Pages: 168-171;  FEBRUARY 1998.
6. Arik S; Global asymptotic stability of a larger class of neural networks with constant time delay; PHYSICS LETTERS A ;  Volume: 311   Issue: 6   Pages: 504-511;   MAY 26 2003.
7. Arik S; Global robust stability of delayed neural networks; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS; Volume: 50   Issue: 1   Pages: 156-160;    JANUARY 2003.
8. Arik S; An analysis of exponential stability of delayed neural networks with time varying delays; NEURAL NETWORKS; Volume: 17  Issue: 7   Pages: 1027-1031;  SEPTEMBER 2004.
9. Arik S; Global asymptotic stability analysis of bidirectional associative memory neural networks with time delays; IEEE TRANSACTIONS ON NEURAL NETWORKS; Volume: 16   Issue: 3   Pages: 580-586; MAY 2005.
10. Arik S, Orman Z; Global stability analysis of Cohen-Grossberg neural networks with time varying delays; PHYSICS LETTERS A; Volume: 341   Issue: 5-6  Pages: 410-421; JUNE 27 2005.
11. Ozcan N, Arik S; Global robust stability analysis of neural networks with multiple time delays; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS; Volume: 53   Issue: 1   Pages: 166-176; JANUARY 2006.
12. Arik S; Global asymptotic stability of a class of dynamical neural networks; IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS;   Volume: 47   Issue: 4   Pages: 568-571;   APRIL 2000.
13. Yucel E, Arik S; New exponential stability results for delayed neural networks with time varying delays; PHYSICA D-NONLINEAR PHENOMENA;   Volume: 191  Issue: 3-4 Pages: 314-322;   MAY 1 2004.
14. Arik S, Tavsanoglu V; Global asymptotic stability analysis of bidirectional associative memory neural networks with constant time delays; NEUROCOMPUTING; Volume: 68   Pages: 161-176; OCTOBER 2005.
15. Arik S; Global robust stability analysis of neural networks with discrete time delays; CHAOS SOLITONS & FRACTALS;   Volume: 26   Issue: 5   Pages: 1407-1414;   DECEMBER 2005.
16. Arik S, Tavsanoglu V; Equilibrium analysis of non-symmetric CNNs; INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS;   Volume: 24  Issue: 3   Pages: 269-274;   MAY-JUNE 1996.
17. Ensari T, Arik S; Global stability analysis of neural networks with multiple time varying delays; IEEE TRANSACTIONS ON AUTOMATIC CONTROL;   Volume: 50  Issue: 11   Pages: 1781-1785;   NOVEMBER 2005.
18. Senan S, Arik S; Global robust stability of bidirectional associative memory neural networks with multiple time delays; IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS; Volume: 37   Issue: 5   Pages: 1375-1381; OCTOBER 2007.
19. Samli R, Arik S; New results for global stability of a class of neutral-type neural systems with time delays; APPLIED MATHEMATICS AND COMPUTATION;  Volume: 210   Issue: 2   Pages: 564-570;   APRIL 15 2009.
20. Orman Z, Arik S; New results for global stability of Cohen-Grossberg neural networks with multiple time delays; NEUROCOMPUTING;  Volume: 71  Issue: 16-18     Pages: 3053-3063;    OCTOBER 2008.
21. Ozcan N, Arik S; A new sufficient condition for global robust stability of bidirectional associative memory neural networks with multiple time delays; NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS;   Volume: 10   Issue: 5  Pages: 3312-3320;  OCTOBER 2009.
22. Ensari T, Arik S; New results for robust stability of dynamical neural networks with discrete time delays; EXPERT SYSTEMS WITH APPLICATIONS; Volume: 37  Issue: 8   Pages: 5925-5930; AUGUST 2010.
23. Karabiber, F , Grassi, G;,Vecchio, P , Arik, S . Yalcin, ME ; Implementation of a cellular neural network-based segmentation algorithm on the bio-inspired vision system; JOURNAL OF ELECTRONIC IMAGING  Volume: 20   Issue: 1   Article Number: 013004; JANUARAY-MARCH 2011.
24. Sevgen  S, Arik S; On-chip template training system and image processing applications using iterative annealing on ACE16k chip; ; EXPERT SYSTEMS WITH APPLICATIONS; Volume: 38   Issue: 10  Pages: 12900-12905; SEPTEMBER 2011.
25. Senan S, Arik S; New results for global robust stability of bidirectional associative memory neural networks with multiple time delays CHAOS SOLITONS & FRACTALS; Volume: 41 Issue: 4 Pages: 2106-2114;  AUGUST 30 2009.