Results 1 to 10 of about 192,237 (155)
A Security-Enhanced Image Communication Scheme Using Cellular Neural Network [PDF]
Entropy, 2021 In the current network and big data environment, the secure transmission of digital images is facing huge challenges. The use of some methodologies in artificial intelligence to enhance its security is extremely cutting-edge and also a development trend.
Heping Wen +15 more
doaj +2 more sources
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
+9 more sources
Robust hybrid synchronization control of chaotic 3-cell CNN with uncertain parameters using smooth super twisting algorithm [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 This paper presents the control design framework for the hybrid synchronization (HS) and parameter identification of the 3-Cell Cellular Neural Network.
Nazam Siddique +4 more
doaj +1 more source
IEEE Access, 2023 Robustness analysis of fuzzy cellular neural networks with deviating arguments and stochastic disturbances is the main topic of discussion in this paper. The issue at hand is what the upper bounds of the disturbances and deviating intervals for the fuzzy
Fang Wenxiang, Xie Tao, Li Biwen
doaj +1 more source
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
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
openaire +2 more sources
Quantum cellular neural networks [PDF]
Superlattices and Microstructures, 1996 7 pages including 3 ...
Toth, Geza +7 more
openaire +2 more sources
Biomolecules, 2021 Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to
Kaisa Liimatainen +3 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
Fractal and Fractional, 2023 A new fractional-order cellular neural network (CNN) system is solved using the Adomian decomposition method (ADM) with the hyperbolic tangent activation function in this paper. The equilibrium point is analyzed in this CNN system.
Hongli Cao, Ran Chu, Yuanhui Cui
doaj +1 more source