Results 21 to 30 of about 7,396,511 (284)
Studying the capacity of cellular encoding to generate feedforward neural network topologies [PDF]
, 2004 Proceeding of: IEEE International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 25-29 July 2004Many methods to codify artificial neural networks have been developed to avoid the disadvantages of direct encoding schema, improving the search ...
Gutiérrez Sánchez, Germán +10 more
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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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Hidden Multistability in a Memristor-Based Cellular Neural Network
Advances in Mathematical Physics, 2020 In this paper, we report a novel memristor-based cellular neural network (CNN) without equilibrium points. Dynamical behaviors of the memristor-based CNN are investigated by simulation analysis.
Birong Xu, Hairong Lin, Guangyi Wang
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Bifurcation in a nonlinear steady state system [PDF]
Opuscula Mathematica, 2010 The steady state solutions of a nonlinear digital cellular neural network with \(\omega\) neural units and a nonnegative variable parameter \(\lambda\) are sought. We show that \(\lambda = 1\) is a critical value such that the qualitative behavior of our
Gen-Qiang Wang, Sui Sun Cheng
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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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Cellular neural networks, Navier-Stokes equation and microarray image reconstruction [PDF]
, 2011 Copyright @ 2011 IEEE.Although the last decade has witnessed a great deal of improvements achieved for the microarray technology, many major developments in all the main stages of this technology, including image processing, are still needed.
Bachar Zineddin +5 more
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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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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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Frontiers in Neuroanatomy, 2021 The function of a neural circuit can be determined by the following: (1) characteristics of individual neurons composing the circuit, (2) their distinct connection structure, and (3) their neural circuit activity.
June Hoan Kim +7 more
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Neural Mesh on Cellular Neural Network [PDF]
2005 9th International Workshop on Cellular Neural Networks and Their Applications, 2005 This paper presents an implementation of the neural mesh on the cellular neural networks (CNN). An energy function is devised for the mesh to cope with the CNN. This energy can guide various behaviors of the mesh.
Wu, Tai-Hei +2 more
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