TY  - JOUR
T1  - Stability Analysis of A Class of Takagı-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Time Delays
TT  - TAKAGİ-SUGENO BULANIK COHEN-GROSSBERG TİPİ ZAMAN GECİKMELİ YAPAY SİNİR AĞLARINDA KARARLILIK ANALİZİ
AU  - Özcan Semerci, Neyir
AU  - Barış, Samet
PY  - 2018
DA  - August
Y2  - 2018
DO  - 10.17482/uumfd.406443
JF  - Uludağ Üniversitesi Mühendislik Fakültesi Dergisi
JO  - UUJFE
PB  - Bursa Uludağ Üniversitesi
WT  - DergiPark
SN  - 2148-4155
SP  - 45
EP  - 54
VL  - 23
IS  - 2
LA  - en
AB  - This paper deals with the problem of the globalasymptotic stability of the class of Takagi-Sugeno Fuzzy Cohen-Grossberg neuralnetworks with multiple time delays. By constructing a suitable fuzzy Lyapunovfunctional, we present a new delay-independent sufficient condition for theglobal asymptotic stability of the equilibrium point for delayed Takagi-SugenoFuzzy Cohen-Grossberg neural networks with respect to the Lipschitz activationfunctions. The obtained condition simply relies on the network parameters of theneural system. Therefore, the equilibrium and stability properties of theneural network model considered in this paper can be easily verified byexploiting some basic properties of some certain classes of matrices.
KW  - T-S Fuzzy Neural Networks
KW  - Delayed Systems
KW  - Lyapunov Functionals
N2  - Bu çalışma çoklu zaman gecikmeli Takagi-Sugeno BulanıkCohen-Grossberg tipi yapay sinir ağlarının global asimtotik kararlılık problemiile ilgilenmektedir. Uygun bulanık Lyapunov fonksiyonelleri kullanılarak veaktivasyon fonksiyonlarının Lipschitz olduğu dikkate alnarak, gecikmeli Takagi-SugenoBulanık Cohen-Grossberg yapay sinir ağlarında denge noktasının global asimtotikgecikme parametrelerinden bağımsız olarak, yeni yeterli bir kararlılık koşulusunulmuştur. Elde edilen koşul sadece sinir ağının sistem parametrelerine bağlıolarak ifade edilmiştir. Bu nedenle, bu çalışmada çalışılan yapay sinir ağı modelinin denge ve kararlılıközellikleri, bazı özel matris sınıflarının temel özellikleri kullanarak kolaylıkladoğrulanabilir.
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UR  - https://doi.org/10.17482/uumfd.406443
L1  - https://dergipark.org.tr/tr/download/article-file/498857
ER  -