Results 21 to 30 of about 4,733,381 (248)
Learning cellular morphology with neural networks
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 for NP-Hard Optimization
EURASIP Journal on Advances in Signal Processing, 2009 A cellular neural/nonlinear network (CNN) is used for NP-hard optimization. We prove that a CNN in which the parameters of all cells can be separately controlled is the analog correspondent of a two-dimensional Ising-type (Edwards-Anderson) spin-glass ...
Mária Ercsey-Ravasz +2 more
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A 3D mobile positioning method based on deep learning for hospital applications
EURASIP Journal on Wireless Communications and Networking, 2020 In this study, a 3D positioning method is proposed for hospital applications, such as navigation within a hospital building. It employs deep learning algorithms to analyze the received signal strength from cellular networks and Wi-Fi access points in ...
Qingqing Zhang, Yuan Wang
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International Journal of Computational Intelligence Systems, 2016 In this paper, we investigate a class of stochastic shunting inhibitory cellular neural networks with time-varying delays. Applying integral inequality, some sufficient conditions on the existence and p-exponential stability of periodic solutions for ...
Changjin Xu, Maoxin Liao, Yicheng Pang
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Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures [PDF]
, 2005 Architecture design is a fundamental step in the successful application of Feed forward Neural Networks. In most cases a large number of neural networks architectures suitable to solve a problem exist and the architecture design is, unfortunately, still ...
Gutiérrez Sánchez, Germán +4 more
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Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays
Advances in Difference Equations, 2018 We study fuzzy stochastic bidirectional associative memory cellular neural networks with discrete delays in leakage terms and with continuous and infinitely distributed delays in the transmission terms. Under certain structural assumptions, we prove that
Fosheng Wang, Chengqiang Wang
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Multi-robot Coordination by using Cellular Neural Networks [PDF]
Journal of Electrical and Electronics Engineering, 2008 Vision-based algorithms for multi-robot coordination,are presented in this paper. Cellular Neural Networks (CNNs)processing techniques are used for real time motion planning ofthe robots.
A. Gacsadi, I. Gavrilut
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Stability results for cellular neural networks with delays
Electronic Journal of Qualitative Theory of Differential Equations, 2004 In this paper we give a sufficient condition to imply global asymptotic stability of a delayed cellular neural network of the form $$ \dot x_i(t) = -d_i x_i(t)+ \sum_{j=1}^na_{ij} f(x_j(t)) +\sum_{j=1}^nb_{ij}f(x_j(t-\tau_{ij}))+u_i,\qquad t\geq0,\quad i=
István Győri, Ferenc Hartung
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Neural Network architectures design by Cellular Automata evolution [PDF]
, 2000 4th Conference of Systemics Cybernetics and Informatics. Orlando, 23-26 July 2000The design of the architecture is a crucial step in the successful application of a neural network.
Galván, Inés M. +3 more
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IEEE Access, 2018 This paper mainly investigates the fixed-time synchronization problem of memristive fuzzy bidirectional associative memory (BAM) cellular neural networks (MFBAMCNNs) with time-varying delays.
Mingwen Zheng +5 more
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