Stochastic memristive quaternion-valued neural networks with time delays: An analysis on mean square exponential input-to-state stability
© 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...
محفوظ في:
المؤلفون الرئيسيون: | Usa Humphries, Grienggrai Rajchakit, Pramet Kaewmesri, Pharunyou Chanthorn, Ramalingam Sriraman, Rajendran Samidurai, Chee Peng Lim |
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التنسيق: | دورية |
منشور في: |
2020
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الموضوعات: | |
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 |
الوسوم: |
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المؤسسة: | Chiang Mai University |
مواد مشابهة
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