Stochastic memristive quaternion-valued neural networks with time delays: An analysis on mean square exponential input-to-state stability

• المؤلفون الرئيسيون: Usa Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Pharunyou Chanthorn, Ramalingam Sriraman, Rajendran Samidurai, Chee Peng Lim
• التنسيق: دورية
• منشور في: 2020
• الموضوعات: Mathematics
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086664222&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/70716

© 2020 by the authors. In this paper, we study the mean-square exponential input-to-state stability (exp-ISS) problem for a new class of neural network (NN) models, i.e., continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays. Firstly, in order to overcome...