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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
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Learning cellular morphology with neural networks [PDF]
Nature Communications, 2019 Volume electron microscopy data of brain tissue can tell us much about neural circuits, but increasingly large data sets demand automation of analysis. Here, the authors introduce cellular morphology neural networks and successfully automate a range of ...
Philipp J. Schubert +4 more
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Cellular Neural Networks [PDF]
1988., IEEE International Symposium on Circuits and Systems, 1995 Many complex scientific problems can be formulated with a regular 2-D or 3-D grid. Direct interaction between the signals on various grid points is limited within a finite local neighborhood, which is sometimes called the receptive field. The original cellular neural network (CNN) paradigm was first proposed by Chua and Yang in 1988 [1, 2].
Bing J. Sheu, Joongho Choi
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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
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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
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Scholarpedia, 2009 From the Publisher: The definitive reference for the world of Cellular Neural Networks (CNN). Demonstrates basic notions and possibilities using examples which include global optimization in a single transient, color halftoning and a CNN algorithm containing several cloning templates for detecting almost invisible defects in a textile pattern.
Tamás Roska, Giovanni Egidio Pazienza
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Quantum cellular neural networks [PDF]
Superlattices and Microstructures, 1996 7 pages including 3 ...
Toth, Geza +7 more
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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
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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
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On coupled oscillators networks for the cellular neural network [PDF]
1993 IEEE International Symposium on Circuits and Systems, 2002 The authors propose two types of coupled oscillator networks and investigate their steady states. One network has a two-dimensional honeycomb structure. The other network has a two-dimensional lattice structure. In the honeycomb circuit, three adjacent oscillators are coupled by one coupling resistor and it is considered that the voltages of three ...
Yoshifumi Nishio +2 more
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