Results 21 to 30 of about 4,958,442 (285)
Towards neural-symbolic integration: the evolutionary neural logic networks [PDF]
, 2004 This work presents the application of a new methodology for the production of neural logic networks into two real-world problems from the medical domain.
Tsakonas, Athanasios, A. Tsakonas
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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
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Optimizing Opto-Electronic Cellular Neural Networks Using Bees Swarm Intelligent [PDF]
Engineering and Technology Journal, 2010 This paper presents an application of Bees algorithm to the optimization of cellular neural network for opto-electronics design, where cellular neural networks bees are a large – scale nonlinear analog circuit which processes signals in real time.
Hanan A.R.Akkar
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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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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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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
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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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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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Grammars and cellular automata for evolving neural networks architectures [PDF]
, 2000 IEEE International Conference on Systems, Man, and Cybernetics. Nashville, TN, 8-11 October 2000The class of feedforward neural networks trained with back-propagation admits a large variety of specific architectures applicable to approximation pattern ...
Molina López, José Manuel +9 more
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