Results 1 to 10 of about 4,733,381 (248)
Almost Surely Exponential Convergence Analysis of Time Delayed Uncertain Cellular Neural Networks Driven by Liu Process via Lyapunov–Krasovskii Functional Approach [PDF]
Entropy, 2023 As with probability theory, uncertainty theory has been developed, in recent years, to portray indeterminacy phenomena in various application scenarios.
Chengqiang Wang +3 more
doaj +2 more sources
Computational and topological properties of neural networks by means of graph-theoretic parameters
Alexandria Engineering Journal, 2023 A neural network is a computer system modeled on the nerve tissue and nervous system. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature.
Asad Khan +5 more
doaj +1 more source
Mathematics, 2021 Cellular neural networks with D operator and time-varying delays are found to be effective in demonstrating complex dynamic behaviors. The stability analysis of the pseudo-almost periodic solution for a novel neural network of this kind is considered in ...
Weide Liu, Jianliang Huang, Qinghe Yao
doaj +1 more source
Nantong Daxue xuebao. Ziran kexue ban, 2020 The paper studies the global exponential synchronization problem of the memristor-based fuzzy cellular neural networks. First, by utilizing the Filippov solution and the measurable selection theorems, the memristor-based fuzzy cellular neural network is ...
MU Xiaohui;TANG Rongqiang;YANG Xinsong
doaj +1 more source
Anti-periodic behavior for quaternion-valued delayed cellular neural networks
Advances in Difference Equations, 2021 In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
doaj +1 more source
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2021 The article considers the methods of calculating radio signal power. The main factors influencing the distribution and their connection with the error in the calculations of the indicators' peak values are analyzed. The regularities of signal propagation
Andrii Shchepak +2 more
doaj +1 more source
Asymptotically Almost Periodic Solutions for a Class of Cellular Neural Networks with Varying Delays
Journal of Harbin University of Science and Technology, 2017 Since a class of specific differential equations called cellular neural networks with delays have been established，the discussion on existence and uniqueness of all kinds of solutions for this class of equation becomeimportant study contents，especially ...
YAO Hui-li, SUN Hai-tong, BU Xian-jiang
doaj +1 more source
Advances in Difference Equations, 2020 At present, the research on discrete-time Clifford-valued neural networks is rarely reported. However, the discrete-time neural networks are an important part of the neural network theory.
Yongkun Li, Shiping Shen
doaj +1 more source
Zagreb Connection Numbers for Cellular Neural Networks
Discrete Dynamics in Nature and Society, 2020 Neural networks in which communication works only among the neighboring units are called cellular neural networks (CNNs). These are used in analyzing 3D surfaces, image processing, modeling biological vision, and reducing nonvisual problems of geometric ...
Jia-Bao Liu, Zahid Raza, Muhammad Javaid
doaj +1 more source
Frontiers in Systems Biology, 2023 How do cellular regulatory networks solve the challenges of life? This article presents computer software to study that question, focusing on how transcription factor networks transform internal and external inputs into cellular response outputs.
Steven A. Frank
doaj +1 more source